EQUATION 1







Regression

Notes
Output Created 19-OCT-2004 09:25:47
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f D Dl Dsq TO Dl2/ STATISTICS = all/
DEPENDENT = f/ METHOD = STEPWISE.
Resources Memory Required 3884 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,04

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(a)
a Dependent Variable: F

EQUATION 2

Regression

Notes
Output Created 19-OCT-2004 09:25:47
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f H H2 Hr H2r HdHsq Hl Hl2/ STATISTICS = all/
DEPENDENT = f/ METHOD = STEPWISE.
Resources Memory Required 3884 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(a)
a Dependent Variable: F

EQUATION 3

Regression

Notes
Output Created 19-OCT-2004 09:25:47
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f D Dl D2H TO D2l/ STATISTICS = all/
DEPENDENT = f/ METHOD STEPWISE.
Resources Memory Required 19084 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,04

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(a)
Model Variables Entered Variables Removed Method
1 HDD , Stepwise (Criteria: Probability-of-F-to-enter <= ,050, Probability-of-F-to-remove >= ,100).
a Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,185(a) ,034 ,031 1,99167E-02 ,034 12,330 1 348 ,001 -2739,342 ,977 18,066 -2731,626(b)
a Predictors: (Constant), HDD
b Multicollinearity is present. The following variables were not included in the full model used for calculation of the Mallows' Prediction Criterion: D, DL, D2H, D2HL, DSQ, DSR, DR, D2R, DL2, H2, DH, HR, DHR, D2HR, DH2R, HDHSQ, HL, HL2, DHL

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 4,891E-03 1 4,891E-03 12,330 ,001(a)
Residual ,138 348 3,967E-04

Total ,143 349


a Predictors: (Constant), HDD
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,501 ,018

28,510 ,000 ,467 ,536




HDD -4,633E-04 ,000 -,185 ,053 -3,511 ,001 -,001 ,000 -,185 -,185 -,185 1,000 1,000
a Dependent Variable: F





Excluded Variables(b)

Beta In t Sig. Partial Correlation Collinearity Statistics
Model Tolerance VIF Minimum Tolerance
1 D ,018(a) ,337 ,736 ,018 ,995 1,005 ,995
DL ,029(a) ,535 ,593 ,029 ,969 1,032 ,969
D2H -,010(a) -,195 ,846 -,010 ,999 1,001 ,999
D2HL ,029(a) ,526 ,599 ,028 ,924 1,082 ,924
DSQ ,006(a) ,119 ,905 ,006 ,998 1,002 ,998
DSR ,023(a) ,441 ,660 ,024 ,984 1,016 ,984
DR -,037(a) -,680 ,497 -,037 ,931 1,074 ,931
D2R -,042(a) -,760 ,448 -,041 ,893 1,120 ,893
DL2 -,033(a) -,611 ,542 -,033 ,952 1,050 ,952
H2 -,003(a) -,047 ,963 -,003 ,892 1,121 ,892
DH ,002(a) ,029 ,977 ,002 ,979 1,022 ,979
DH2 -,016(a) -,308 ,758 -,017 ,985 1,015 ,985
D2H2 -,027(a) -,506 ,613 -,027 ,998 1,002 ,998
HR -,038(a) -,635 ,526 -,034 ,760 1,316 ,760
H2R -,040(a) -,641 ,522 -,034 ,732 1,366 ,732
DHR -,042(a) -,718 ,473 -,038 ,811 1,233 ,811
D2HR -,042(a) -,722 ,471 -,039 ,809 1,236 ,809
DH2R -,039(a) -,644 ,520 -,035 ,761 1,314 ,761
D2H2R -,036(a) -,593 ,554 -,032 ,770 1,299 ,770
H2DD ,017(a) ,247 ,805 ,013 ,621 1,609 ,621
HDHSQ -,039(a) -,632 ,528 -,034 ,748 1,336 ,748
HL ,030(a) ,510 ,611 ,027 ,800 1,250 ,800
HL2 ,025(a) ,437 ,663 ,023 ,818 1,222 ,818
DHL ,029(a) ,522 ,602 ,028 ,897 1,115 ,897
DHL2 -,029(a) -,538 ,591 -,029 ,968 1,033 ,968
D2L ,029(a) ,535 ,593 ,029 ,969 1,032 ,969
a Predictors in the Model: (Constant), HDD
b Dependent Variable: F

Coefficient Correlations(a)
Model HDD
1 Correlations HDD 1,000
Covariances HDD 1,741E-08
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows HDD F D DL D2H D2HL DSQ DSR DR D2R DL2 H2 DH DH2 D2H2 HR H2R DHR D2HR DH2R D2H2R H2DD HDHSQ HL HL2 DHL DHL2 D2L
1 HDD 1,000(xx) ,185(xy) -,072(x~) -,177(x~) ,023(x~) -,275(x~) ,044(x~) -,127(x~) ,263(x~) ,328(x~) ,219(x~) -,329(x~) -,147(x~) -,123(x~) ,043(x~) ,490(x~) ,518(x~) ,434(x~) ,437(x~) ,489(x~) ,480(x~) -,615(x~) ,502(x~) -,447(x~) -,427(x~) -,321(x~) ,178(x~) -,177(x~)
F -,185(yx) ,966(yy) ,018(y~) ,028(y~) -,010(y~) ,027(y~) ,006(y~) ,023(y~) -,035(y~) -,038(y~) -,031(y~) -,002(y~) ,002(y~) -,016(y~) -,027(y~) -,029(y~) -,029(y~) -,034(y~) -,034(y~) -,030(y~) -,027(y~) ,010(y~) -,029(y~) ,024(y~) ,021(y~) ,026(y~) -,028(y~) ,028(y~)
D ,072(~x) ,018(~y) ,995(~~) ,973 ,967 ,950 ,985 ,987 -,930 -,877 -,955 ,926 ,979 ,962 ,936 -,836 -,775 -,830 -,785 -,746 -,700 ,773 -,815 ,883 ,897 ,935 ,810 ,973
DL ,177(~x) ,028(~y) ,973 ,969(~~) ,913 ,946 ,944 ,974 -,942 -,902 -,959 ,897 ,944 ,914 ,873 -,846 -,797 -,853 -,818 -,777 -,738 ,760 -,829 ,880 ,889 ,932 ,730 ,969
D2H -,023(~x) -,010(~y) ,967 ,913 ,999(~~) ,891 ,993 ,942 -,846 -,775 -,884 ,919 ,977 ,986 ,993 -,761 -,687 -,735 -,677 -,644 -,590 ,743 -,735 ,827 ,849 ,877 ,897 ,913
D2HL ,275(~x) ,027(~y) ,950 ,946 ,891 ,924(~~) ,922 ,951 -,920 -,881 -,937 ,875 ,921 ,892 ,851 -,827 -,779 -,834 -,800 -,760 -,722 ,742 -,811 ,860 ,868 ,910 ,711 ,946
DSQ -,044(~x) ,006(~y) ,985 ,944 ,993 ,922 ,998(~~) ,967 -,887 -,824 -,920 ,923 ,982 ,978 ,975 -,800 -,734 -,783 -,731 -,697 -,647 ,756 -,777 ,856 ,874 ,907 ,859 ,944
DSR ,127(~x) ,023(~y) ,987 ,974 ,942 ,951 ,967 ,984(~~) -,939 -,892 -,960 ,915 ,965 ,941 ,907 -,844 -,788 -,844 -,804 -,764 -,721 ,770 -,825 ,885 ,896 ,937 ,773 ,974
DR -,263(~x) -,035(~y) -,930 -,942 -,846 -,920 -,887 -,939 ,931(~~) ,905 ,939 -,845 -,889 -,848 -,798 ,838 ,802 ,857 ,834 ,794 ,765 -,727 ,826 -,857 -,860 -,907 -,633 -,942
D2R -,328(~x) -,038(~y) -,877 -,902 -,775 -,881 -,824 -,892 ,905 ,893(~~) ,905 -,783 -,825 -,776 -,722 ,817 ,797 ,848 ,837 ,800 ,781 -,683 ,811 -,821 -,818 -,868 -,533 -,902
DL2 -,219(~x) -,031(~y) -,955 -,959 -,884 -,937 -,920 -,960 ,939 ,905 ,952(~~) -,876 -,921 -,885 -,839 ,844 ,800 ,856 ,826 ,785 ,751 -,748 ,829 -,872 -,878 -,923 -,688 -,959
H2 ,329(~x) -,002(~y) ,926 ,897 ,919 ,875 ,923 ,915 -,845 -,783 -,876 ,892(~~) ,929 ,928 ,901 -,750 -,675 -,732 -,679 -,638 -,586 ,739 -,723 ,814 ,834 ,862 ,830 ,897
DH ,147(~x) ,002(~y) ,979 ,944 ,977 ,921 ,982 ,965 -,889 -,825 -,921 ,929 ,979(~~) ,975 ,958 -,795 -,723 -,778 -,725 -,686 -,634 ,766 -,770 ,856 ,876 ,907 ,863 ,944
DH2 ,123(~x) -,016(~y) ,962 ,914 ,986 ,892 ,978 ,941 -,848 -,776 -,885 ,928 ,975 ,985(~~) ,979 -,756 -,676 -,730 -,670 -,632 -,576 ,755 -,728 ,828 ,852 ,878 ,905 ,914
D2H2 -,043(~x) -,027(~y) ,936 ,873 ,993 ,851 ,975 ,907 -,798 -,722 -,839 ,901 ,958 ,979 ,998(~~) -,717 -,638 -,684 -,623 -,592 -,537 ,720 -,689 ,790 ,815 ,838 ,915 ,873
HR -,490(~x) -,029(~y) -,836 -,846 -,761 -,827 -,800 -,844 ,838 ,817 ,844 -,750 -,795 -,756 -,717 ,760(~~) ,735 ,780 ,762 ,731 ,709 -,644 ,752 -,770 -,770 -,815 -,550 -,846
H2R -,518(~x) -,029(~y) -,775 -,797 -,687 -,779 -,734 -,788 ,802 ,797 ,800 -,675 -,723 -,676 -,638 ,735 ,732(~~) ,768 ,765 ,742 ,732 -,585 ,736 -,726 -,718 -,767 -,437 -,797
DHR -,434(~x) -,034(~y) -,830 -,853 -,735 -,834 -,783 -,844 ,857 ,848 ,856 -,732 -,778 -,730 -,684 ,780 ,768 ,811(~~) ,804 ,774 ,760 -,636 ,777 -,777 -,771 -,821 -,487 -,853
D2HR -,437(~x) -,034(~y) -,785 -,818 -,677 -,800 -,731 -,804 ,834 ,837 ,826 -,679 -,725 -,670 -,623 ,762 ,765 ,804 ,809(~~) ,782 ,778 -,597 ,766 -,745 -,735 -,788 -,402 -,818
DH2R -,489(~x) -,030(~y) -,746 -,777 -,644 -,760 -,697 -,764 ,794 ,800 ,785 -,638 -,686 -,632 -,592 ,731 ,742 ,774 ,782 ,761(~~) ,761 -,559 ,738 -,709 -,697 -,749 -,365 -,777
D2H2R -,480(~x) -,027(~y) -,700 -,738 -,590 -,722 -,647 -,721 ,765 ,781 ,751 -,586 -,634 -,576 -,537 ,709 ,732 ,760 ,778 ,761 ,770(~~) -,519 ,720 -,674 -,658 -,712 -,289 -,738
H2DD ,615(~x) ,010(~y) ,773 ,760 ,743 ,742 ,756 ,770 -,727 -,683 -,748 ,739 ,766 ,755 ,720 -,644 -,585 -,636 -,597 -,559 -,519 ,621(~~) -,623 ,690 ,705 ,731 ,653 ,760
HDHSQ -,502(~x) -,029(~y) -,815 -,829 -,735 -,811 -,777 -,825 ,826 ,811 ,829 -,723 -,770 -,728 -,689 ,752 ,736 ,777 ,766 ,738 ,720 -,623 ,748(~~) -,755 -,752 -,799 -,508 -,829
HL ,447(~x) ,024(~y) ,883 ,880 ,827 ,860 ,856 ,885 -,857 -,821 -,872 ,814 ,856 ,828 ,790 -,770 -,726 -,777 -,745 -,709 -,674 ,690 -,755 ,800(~~) ,808 ,847 ,659 ,880
HL2 ,427(~x) ,021(~y) ,897 ,889 ,849 ,868 ,874 ,896 -,860 -,818 -,878 ,834 ,876 ,852 ,815 -,770 -,718 -,771 -,735 -,697 -,658 ,705 -,752 ,808 ,818(~~) ,855 ,698 ,889
DHL ,321(~x) ,026(~y) ,935 ,932 ,877 ,910 ,907 ,937 -,907 -,868 -,923 ,862 ,907 ,878 ,838 -,815 -,767 -,821 -,788 -,749 -,712 ,731 -,799 ,847 ,855 ,897(~~) ,700 ,932
DHL2 -,178(~x) -,028(~y) ,810 ,730 ,897 ,711 ,859 ,773 -,633 -,533 -,688 ,830 ,863 ,905 ,915 -,550 -,437 -,487 -,402 -,365 -,289 ,653 -,508 ,659 ,698 ,700 ,968(~~) ,730
D2L ,177(~x) ,028(~y) ,973 ,969 ,913 ,946 ,944 ,974 -,942 -,902 -,959 ,897 ,944 ,914 ,873 -,846 -,797 -,853 -,818 -,777 -,738 ,760 -,829 ,880 ,889 ,932 ,730 ,969(~~)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
x~ Row variable is an independent variable, column variable is an excluded independent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
y~ Row variable is the dependent variable, column variable is an excluded independent variable.
~x Row variable is an excluded independent variable, column variable is an independent variable.
~y Row variable is an excluded independent variable, column variable is the dependent variable.
~~ This variable is an excluded predictor.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) HDD
1 1 1,998 1,000 ,00 ,00
2 1,835E-03 33,000 1,00 1,00
a Dependent Variable: F

EQUATION 4

Regression

Notes
Output Created 19-OCT-2004 09:25:47
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = fl D Dl D2H TO D2l/ STATISTICS = all/
DEPENDENT = fl/ METHOD = STEPWISE.
Resources Memory Required 19084 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,04

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(a)
Model Variables Entered Variables Removed Method
1 HDD , Stepwise (Criteria: Probability-of-F-to-enter <= ,050, Probability-of-F-to-remove >= ,100).
a Dependent Variable: FL





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,187(a) ,035 ,032 4,558E-02 ,035 12,636 1 348 ,000 -2159,733 ,976 18,331 -2152,017(b)
a Predictors: (Constant), HDD
b Multicollinearity is present. The following variables were not included in the full model used for calculation of the Mallows' Prediction Criterion: D, DL, D2H, D2HL, DSQ, DSR, DR, D2R, DL2, H2, DH, HR, DHR, D2HR, DH2R, HDHSQ, HL, HL2, DHL

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2,626E-02 1 2,626E-02 12,636 ,000(a)
Residual ,723 348 2,078E-03

Total ,749 349


a Predictors: (Constant), HDD
b Dependent Variable: FL



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) -,680 ,040

-16,899 ,000 -,759 -,601




HDD -1,073E-03 ,000 -,187 ,053 -3,555 ,000 -,002 ,000 -,187 -,187 -,187 1,000 1,000
a Dependent Variable: FL





Excluded Variables(b)

Beta In t Sig. Partial Correlation Collinearity Statistics
Model Tolerance VIF Minimum Tolerance
1 D ,012(a) ,220 ,826 ,012 ,995 1,005 ,995
DL ,023(a) ,426 ,670 ,023 ,969 1,032 ,969
D2H -,017(a) -,320 ,749 -,017 ,999 1,001 ,999
D2HL ,023(a) ,418 ,677 ,022 ,924 1,082 ,924
DSQ ,000(a) -,002 ,999 ,000 ,998 1,002 ,998
DSR ,017(a) ,328 ,743 ,018 ,984 1,016 ,984
DR -,032(a) -,582 ,561 -,031 ,931 1,074 ,931
D2R -,038(a) -,673 ,501 -,036 ,893 1,120 ,893
DL2 -,027(a) -,507 ,613 -,027 ,952 1,050 ,952
H2 -,010(a) -,172 ,864 -,009 ,892 1,121 ,892
DH -,005(a) -,095 ,924 -,005 ,979 1,022 ,979
DH2 -,023(a) -,437 ,662 -,023 ,985 1,015 ,985
D2H2 -,033(a) -,632 ,528 -,034 ,998 1,002 ,998
HR -,033(a) -,539 ,590 -,029 ,760 1,316 ,760
H2R -,034(a) -,559 ,577 -,030 ,732 1,366 ,732
DHR -,037(a) -,632 ,528 -,034 ,811 1,233 ,811
D2HR -,038(a) -,647 ,518 -,035 ,809 1,236 ,809
DH2R -,035(a) -,572 ,567 -,031 ,761 1,314 ,761
D2H2R -,032(a) -,531 ,596 -,028 ,770 1,299 ,770
H2DD ,009(a) ,130 ,897 ,007 ,621 1,609 ,621
HDHSQ -,033(a) -,540 ,589 -,029 ,748 1,336 ,748
HL ,024(a) ,401 ,689 ,022 ,800 1,250 ,800
HL2 ,019(a) ,324 ,746 ,017 ,818 1,222 ,818
DHL ,023(a) ,413 ,680 ,022 ,897 1,115 ,897
DHL2 -,036(a) -,672 ,502 -,036 ,968 1,033 ,968
D2L ,023(a) ,426 ,670 ,023 ,969 1,032 ,969
a Predictors in the Model: (Constant), HDD
b Dependent Variable: FL

Coefficient Correlations(a)
Model HDD
1 Correlations HDD 1,000
Covariances HDD 9,119E-08
a Dependent Variable: FL

Swept Correlation Matrix(a)

Columns
Model Rows HDD FL D DL D2H D2HL DSQ DSR DR D2R DL2 H2 DH DH2 D2H2 HR H2R DHR D2HR DH2R D2H2R H2DD HDHSQ HL HL2 DHL DHL2 D2L
1 HDD 1,000(xx) ,187(xy) -,072(x~) -,177(x~) ,023(x~) -,275(x~) ,044(x~) -,127(x~) ,263(x~) ,328(x~) ,219(x~) -,329(x~) -,147(x~) -,123(x~) ,043(x~) ,490(x~) ,518(x~) ,434(x~) ,437(x~) ,489(x~) ,480(x~) -,615(x~) ,502(x~) -,447(x~) -,427(x~) -,321(x~) ,178(x~) -,177(x~)
FL -,187(yx) ,965(yy) ,012(y~) ,022(y~) -,017(y~) ,021(y~) ,000(y~) ,017(y~) -,030(y~) -,034(y~) -,026(y~) -,009(y~) -,005(y~) -,023(y~) -,033(y~) -,025(y~) -,025(y~) -,030(y~) -,031(y~) -,026(y~) -,025(y~) ,005(y~) -,025(y~) ,019(y~) ,015(y~) ,021(y~) -,035(y~) ,022(y~)
D ,072(~x) ,012(~y) ,995(~~) ,973 ,967 ,950 ,985 ,987 -,930 -,877 -,955 ,926 ,979 ,962 ,936 -,836 -,775 -,830 -,785 -,746 -,700 ,773 -,815 ,883 ,897 ,935 ,810 ,973
DL ,177(~x) ,022(~y) ,973 ,969(~~) ,913 ,946 ,944 ,974 -,942 -,902 -,959 ,897 ,944 ,914 ,873 -,846 -,797 -,853 -,818 -,777 -,738 ,760 -,829 ,880 ,889 ,932 ,730 ,969
D2H -,023(~x) -,017(~y) ,967 ,913 ,999(~~) ,891 ,993 ,942 -,846 -,775 -,884 ,919 ,977 ,986 ,993 -,761 -,687 -,735 -,677 -,644 -,590 ,743 -,735 ,827 ,849 ,877 ,897 ,913
D2HL ,275(~x) ,021(~y) ,950 ,946 ,891 ,924(~~) ,922 ,951 -,920 -,881 -,937 ,875 ,921 ,892 ,851 -,827 -,779 -,834 -,800 -,760 -,722 ,742 -,811 ,860 ,868 ,910 ,711 ,946
DSQ -,044(~x) ,000(~y) ,985 ,944 ,993 ,922 ,998(~~) ,967 -,887 -,824 -,920 ,923 ,982 ,978 ,975 -,800 -,734 -,783 -,731 -,697 -,647 ,756 -,777 ,856 ,874 ,907 ,859 ,944
DSR ,127(~x) ,017(~y) ,987 ,974 ,942 ,951 ,967 ,984(~~) -,939 -,892 -,960 ,915 ,965 ,941 ,907 -,844 -,788 -,844 -,804 -,764 -,721 ,770 -,825 ,885 ,896 ,937 ,773 ,974
DR -,263(~x) -,030(~y) -,930 -,942 -,846 -,920 -,887 -,939 ,931(~~) ,905 ,939 -,845 -,889 -,848 -,798 ,838 ,802 ,857 ,834 ,794 ,765 -,727 ,826 -,857 -,860 -,907 -,633 -,942
D2R -,328(~x) -,034(~y) -,877 -,902 -,775 -,881 -,824 -,892 ,905 ,893(~~) ,905 -,783 -,825 -,776 -,722 ,817 ,797 ,848 ,837 ,800 ,781 -,683 ,811 -,821 -,818 -,868 -,533 -,902
DL2 -,219(~x) -,026(~y) -,955 -,959 -,884 -,937 -,920 -,960 ,939 ,905 ,952(~~) -,876 -,921 -,885 -,839 ,844 ,800 ,856 ,826 ,785 ,751 -,748 ,829 -,872 -,878 -,923 -,688 -,959
H2 ,329(~x) -,009(~y) ,926 ,897 ,919 ,875 ,923 ,915 -,845 -,783 -,876 ,892(~~) ,929 ,928 ,901 -,750 -,675 -,732 -,679 -,638 -,586 ,739 -,723 ,814 ,834 ,862 ,830 ,897
DH ,147(~x) -,005(~y) ,979 ,944 ,977 ,921 ,982 ,965 -,889 -,825 -,921 ,929 ,979(~~) ,975 ,958 -,795 -,723 -,778 -,725 -,686 -,634 ,766 -,770 ,856 ,876 ,907 ,863 ,944
DH2 ,123(~x) -,023(~y) ,962 ,914 ,986 ,892 ,978 ,941 -,848 -,776 -,885 ,928 ,975 ,985(~~) ,979 -,756 -,676 -,730 -,670 -,632 -,576 ,755 -,728 ,828 ,852 ,878 ,905 ,914
D2H2 -,043(~x) -,033(~y) ,936 ,873 ,993 ,851 ,975 ,907 -,798 -,722 -,839 ,901 ,958 ,979 ,998(~~) -,717 -,638 -,684 -,623 -,592 -,537 ,720 -,689 ,790 ,815 ,838 ,915 ,873
HR -,490(~x) -,025(~y) -,836 -,846 -,761 -,827 -,800 -,844 ,838 ,817 ,844 -,750 -,795 -,756 -,717 ,760(~~) ,735 ,780 ,762 ,731 ,709 -,644 ,752 -,770 -,770 -,815 -,550 -,846
H2R -,518(~x) -,025(~y) -,775 -,797 -,687 -,779 -,734 -,788 ,802 ,797 ,800 -,675 -,723 -,676 -,638 ,735 ,732(~~) ,768 ,765 ,742 ,732 -,585 ,736 -,726 -,718 -,767 -,437 -,797
DHR -,434(~x) -,030(~y) -,830 -,853 -,735 -,834 -,783 -,844 ,857 ,848 ,856 -,732 -,778 -,730 -,684 ,780 ,768 ,811(~~) ,804 ,774 ,760 -,636 ,777 -,777 -,771 -,821 -,487 -,853
D2HR -,437(~x) -,031(~y) -,785 -,818 -,677 -,800 -,731 -,804 ,834 ,837 ,826 -,679 -,725 -,670 -,623 ,762 ,765 ,804 ,809(~~) ,782 ,778 -,597 ,766 -,745 -,735 -,788 -,402 -,818
DH2R -,489(~x) -,026(~y) -,746 -,777 -,644 -,760 -,697 -,764 ,794 ,800 ,785 -,638 -,686 -,632 -,592 ,731 ,742 ,774 ,782 ,761(~~) ,761 -,559 ,738 -,709 -,697 -,749 -,365 -,777
D2H2R -,480(~x) -,025(~y) -,700 -,738 -,590 -,722 -,647 -,721 ,765 ,781 ,751 -,586 -,634 -,576 -,537 ,709 ,732 ,760 ,778 ,761 ,770(~~) -,519 ,720 -,674 -,658 -,712 -,289 -,738
H2DD ,615(~x) ,005(~y) ,773 ,760 ,743 ,742 ,756 ,770 -,727 -,683 -,748 ,739 ,766 ,755 ,720 -,644 -,585 -,636 -,597 -,559 -,519 ,621(~~) -,623 ,690 ,705 ,731 ,653 ,760
HDHSQ -,502(~x) -,025(~y) -,815 -,829 -,735 -,811 -,777 -,825 ,826 ,811 ,829 -,723 -,770 -,728 -,689 ,752 ,736 ,777 ,766 ,738 ,720 -,623 ,748(~~) -,755 -,752 -,799 -,508 -,829
HL ,447(~x) ,019(~y) ,883 ,880 ,827 ,860 ,856 ,885 -,857 -,821 -,872 ,814 ,856 ,828 ,790 -,770 -,726 -,777 -,745 -,709 -,674 ,690 -,755 ,800(~~) ,808 ,847 ,659 ,880
HL2 ,427(~x) ,015(~y) ,897 ,889 ,849 ,868 ,874 ,896 -,860 -,818 -,878 ,834 ,876 ,852 ,815 -,770 -,718 -,771 -,735 -,697 -,658 ,705 -,752 ,808 ,818(~~) ,855 ,698 ,889
DHL ,321(~x) ,021(~y) ,935 ,932 ,877 ,910 ,907 ,937 -,907 -,868 -,923 ,862 ,907 ,878 ,838 -,815 -,767 -,821 -,788 -,749 -,712 ,731 -,799 ,847 ,855 ,897(~~) ,700 ,932
DHL2 -,178(~x) -,035(~y) ,810 ,730 ,897 ,711 ,859 ,773 -,633 -,533 -,688 ,830 ,863 ,905 ,915 -,550 -,437 -,487 -,402 -,365 -,289 ,653 -,508 ,659 ,698 ,700 ,968(~~) ,730
D2L ,177(~x) ,022(~y) ,973 ,969 ,913 ,946 ,944 ,974 -,942 -,902 -,959 ,897 ,944 ,914 ,873 -,846 -,797 -,853 -,818 -,777 -,738 ,760 -,829 ,880 ,889 ,932 ,730 ,969(~~)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
x~ Row variable is an independent variable, column variable is an excluded independent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
y~ Row variable is the dependent variable, column variable is an excluded independent variable.
~x Row variable is an excluded independent variable, column variable is an independent variable.
~y Row variable is an excluded independent variable, column variable is the dependent variable.
~~ This variable is an excluded predictor.
a Dependent Variable: FL



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) HDD
1 1 1,998 1,000 ,00 ,00
2 1,835E-03 33,000 1,00 1,00
a Dependent Variable: FL

EQUATION 5

Regression

Notes
Output Created 19-OCT-2004 09:25:47
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f D Dsq/ STATISTICS = all/ DEPENDENT =f/
METHOD = ENTER D Dsq.
Resources Memory Required 1964 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 DSQ, D(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,054(a) ,003 -,003 2,02665E-02 ,003 ,500 2 347 ,607 -2726,163 1,014 3,000 -2714,589
a Predictors: (Constant), DSQ, D

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 4,108E-04 2 2,054E-04 ,500 ,607(a)
Residual ,143 347 4,107E-04

Total ,143 349


a Predictors: (Constant), DSQ, D
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,454 ,015

29,652 ,000 ,423 ,484




D -,259 ,269 -,274 ,285 -,963 ,336 -,789 ,270 ,004 -,052 -,052 ,035 28,208
DSQ 1,150 1,154 ,284 ,285 ,997 ,320 -1,120 3,419 ,014 ,053 ,053 ,035 28,208
a Dependent Variable: F

Coefficient Correlations(a)
Model DSQ D
1 Correlations DSQ 1,000 -,982
D -,982 1,000
Covariances DSQ 1,331 -,305
D -,305 7,249E-02
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows DSQ D F
1 DSQ 28,208(xx) -27,703 -,284(xy)
D -27,703 28,208(xx) ,274(xy)
F ,284(yx) -,274(yx) ,997(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) D DSQ
1 1 2,902 1,000 ,00 ,00 ,00
2 9,655E-02 5,483 ,02 ,00 ,04
3 1,008E-03 53,659 ,97 1,00 ,96
a Dependent Variable: F

EQUATION 6

Regression

Notes
Output Created 19-OCT-2004 09:25:47
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f D Dsq/ ORIGIN/ STATISTICS = all/ DEPENDENT =f/
METHOD = ENTER D Dsq.
Resources Memory Required 1964 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b,c)
Model Variables Entered Variables Removed Method
1 DSQ, D(a) , Enter
a All requested variables entered.
b Dependent Variable: F
c Linear Regression through the Origin





Model Summary

R R Square(a) Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,996(b) ,993 ,993 3,80428E-02 ,993 23247,892 2 348 ,000 -2286,336 ,008 2,000 -2278,620
a For regression through the origin (the no-intercept model), R Square measures the proportion of the variability in the dependent variable about the origin explained by regression. This CANNOT be compared to R Square for models which include an intercept.
b Predictors: DSQ, D

ANOVA(c,d)
Model Sum of Squares df Mean Square F Sig.
1 Regression 67,291 2 33,646 23247,892 ,000(a)
Residual ,504 348 1,447E-03

Total 67,795(b) 350


a Predictors: DSQ, D
b This total sum of squares is not corrected for the constant because the constant is zero for regression through the origin.
c Dependent Variable: F
d Linear Regression through the Origin



Coefficients(a,b)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 D 7,614 ,084 1,774 ,019 91,132 ,000 7,450 7,778 ,977 ,980 ,421 ,056 17,755
DSQ -31,028 ,736 -,821 ,019 -42,149 ,000 -32,476 -29,580 ,903 -,914 -,195 ,056 17,755
a Dependent Variable: F
b Linear Regression through the Origin

Coefficient Correlations(a,b)
Model DSQ D
1 Correlations DSQ 1,000 -,971
D -,971 1,000
Covariances DSQ ,542 -5,975E-02
D -5,975E-02 6,981E-03
a Dependent Variable: F
b Linear Regression through the Origin

Swept Correlation Matrix(a,b)

Columns
Model Rows DSQ D F
1 DSQ 17,755(xx) -17,248 ,821(xy)
D -17,248 17,755(xx) -1,774(xy)
F -,821(yx) 1,774(yx) ,007(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F
b Linear Regression through the Origin



Collinearity Diagnostics(a,b)

Eigenvalue Condition Index Variance Proportions
Model Dimension D DSQ
1 1 1,971 1,000 ,01 ,01
2 2,857E-02 8,307 ,99 ,99
a Dependent Variable: F
b Linear Regression through the Origin

EQUATION 7

Regression

Notes
Output Created 19-OCT-2004 09:25:47
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f Dsq/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER Dsq.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 DSQ(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,014(a) ,000 -,003 2,02644E-02 ,000 ,073 1 348 ,788 -2727,229 1,011 2,000 -2719,513
a Predictors: (Constant), DSQ

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2,979E-05 1 2,979E-05 ,073 ,788(a)
Residual ,143 348 4,106E-04

Total ,143 349


a Predictors: (Constant), DSQ
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,439 ,003

173,632 ,000 ,434 ,444




DSQ 5,851E-02 ,217 ,014 ,054 ,269 ,788 -,369 ,486 ,014 ,014 ,014 1,000 1,000
a Dependent Variable: F

Coefficient Correlations(a)
Model DSQ
1 Correlations DSQ 1,000
Covariances DSQ 4,719E-02
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows DSQ F
1 DSQ 1,000(xx) -,014(xy)
F ,014(yx) 1,000(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) DSQ
1 1 1,904 1,000 ,05 ,05
2 9,640E-02 4,444 ,95 ,95
a Dependent Variable: F

EQUATION 8

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f Dsq/ ORIGIN/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER Dsq.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b,c)
Model Variables Entered Variables Removed Method
1 DSQ(a) , Enter
a All requested variables entered.
b Dependent Variable: F
c Linear Regression through the Origin





Model Summary

R R Square(a) Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,903(b) ,815 ,815 ,189427 ,815 1540,349 1 349 ,000 -1163,626 ,186 1,000 -1159,768
a For regression through the origin (the no-intercept model), R Square measures the proportion of the variability in the dependent variable about the origin explained by regression. This CANNOT be compared to R Square for models which include an intercept.
b Predictors: DSQ

ANOVA(c,d)
Model Sum of Squares df Mean Square F Sig.
1 Regression 55,272 1 55,272 1540,349 ,000(a)
Residual 12,523 349 3,588E-02

Total 67,795(b) 350


a Predictors: DSQ
b This total sum of squares is not corrected for the constant because the constant is zero for regression through the origin.
c Dependent Variable: F
d Linear Regression through the Origin



Coefficients(a,b)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 DSQ 34,142 ,870 ,903 ,023 39,247 ,000 32,431 35,853 ,903 ,903 ,903 1,000 1,000
a Dependent Variable: F
b Linear Regression through the Origin

Coefficient Correlations(a,b)
Model DSQ
1 Correlations DSQ 1,000
Covariances DSQ ,757
a Dependent Variable: F
b Linear Regression through the Origin

Swept Correlation Matrix(a,b)

Columns
Model Rows DSQ F
1 DSQ 1,000(xx) -,903(xy)
F ,903(yx) ,185(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F
b Linear Regression through the Origin



Collinearity Diagnostics(a,b)

Eigenvalue Condition Index Variance Proportions
Model Dimension DSQ
1 1 1,000 1,000 1,00
a Dependent Variable: F
b Linear Regression through the Origin

EQUATION 9

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f Dsr/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER Dsr.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 DSR(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,000(a) ,000 -,003 2,02665E-02 ,000 ,000 1 348 ,995 -2727,156 1,011 2,000 -2719,440
a Predictors: (Constant), DSR

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 1,880E-08 1 1,880E-08 ,000 ,995(a)
Residual ,143 348 4,107E-04

Total ,143 349


a Predictors: (Constant), DSR
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,440 ,011

41,531 ,000 ,419 ,461




DSR -2,262E-04 ,033 ,000 ,054 -,007 ,995 -,066 ,066 ,000 ,000 ,000 1,000 1,000
a Dependent Variable: F

Coefficient Correlations(a)
Model DSR
1 Correlations DSR 1,000
Covariances DSR 1,118E-03
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows DSR F
1 DSR 1,000(xx) ,000(xy)
F ,000(yx) 1,000(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) DSR
1 1 1,995 1,000 ,00 ,00
2 5,248E-03 19,496 1,00 1,00
a Dependent Variable: F

EQUATION 10

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f Dr/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER Dr.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 DR(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,014(a) ,000 -,003 2,02645E-02 ,000 ,069 1 348 ,793 -2727,225 1,011 2,000 -2719,509
a Predictors: (Constant), DR

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2,826E-05 1 2,826E-05 ,069 ,793(a)
Residual ,143 348 4,107E-04

Total ,143 349


a Predictors: (Constant), DR
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,438 ,006

77,714 ,000 ,427 ,449




DR 1,398E-04 ,001 ,014 ,054 ,262 ,793 -,001 ,001 ,014 ,014 ,014 1,000 1,000
a Dependent Variable: F

Coefficient Correlations(a)
Model DR
1 Correlations DR 1,000
Covariances DR 2,842E-07
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows DR F
1 DR 1,000(xx) -,014(xy)
F ,014(yx) 1,000(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) DR
1 1 1,981 1,000 ,01 ,01
2 1,863E-02 10,314 ,99 ,99
a Dependent Variable: F

EQUATION 11

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f D2r/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER D2r.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,00

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 D2R(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,023(a) ,001 -,002 2,02613E-02 ,001 ,180 1 348 ,672 -2727,336 1,011 2,000 -2719,620
a Predictors: (Constant), D2R

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 7,379E-05 1 7,379E-05 ,180 ,672(a)
Residual ,143 348 4,105E-04

Total ,143 349


a Predictors: (Constant), D2R
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,438 ,003

147,470 ,000 ,433 ,444




D2R 1,049E-05 ,000 ,023 ,054 ,424 ,672 ,000 ,000 ,023 ,023 ,023 1,000 1,000
a Dependent Variable: F

Coefficient Correlations(a)
Model D2R
1 Correlations D2R 1,000
Covariances D2R 6,125E-10
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows D2R F
1 D2R 1,000(xx) -,023(xy)
F ,023(yx) ,999(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) D2R
1 1 1,931 1,000 ,03 ,03
2 6,870E-02 5,302 ,97 ,97
a Dependent Variable: F

EQUATION 12

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = fr D/ STATISTICS = all/ DEPENDENT fr/
METHOD = ENTER D.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 D(a) , Enter
a All requested variables entered.
b Dependent Variable: FR





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,009(a) ,000 -,003 ,1068 ,000 ,026 1 348 ,871 -1563,679 1,011 2,000 -1555,963
a Predictors: (Constant), D

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2,995E-04 1 2,995E-04 ,026 ,871(a)
Residual 3,970 348 1,141E-02

Total 3,971 349


a Predictors: (Constant), D
b Dependent Variable: FR



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 2,275 ,027

83,033 ,000 2,221 2,329




D 4,329E-02 ,267 ,009 ,054 ,162 ,871 -,482 ,569 ,009 ,009 ,009 1,000 1,000
a Dependent Variable: FR

Coefficient Correlations(a)
Model D
1 Correlations D 1,000
Covariances D 7,138E-02
a Dependent Variable: FR

Swept Correlation Matrix(a)

Columns
Model Rows D FR
1 D 1,000(xx) -,009(xy)
FR ,009(yx) 1,000(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: FR



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) D
1 1 1,978 1,000 ,01 ,01
2 2,195E-02 9,493 ,99 ,99
a Dependent Variable: FR

EQUATION 13

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = Ddf D/ STATISTICS = all/ DEPENDENT = Ddf/
METHOD = ENTER D.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 D(a) , Enter
a All requested variables entered.
b Dependent Variable: DDF





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,972(a) ,945 ,945 1,176E-02 ,945 5973,146 1 348 ,000 -3108,092 ,056 2,000 -3100,376
a Predictors: (Constant), D

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression ,826 1 ,826 5973,146 ,000(a)
Residual 4,813E-02 348 1,383E-04

Total ,874 349


a Predictors: (Constant), D
b Dependent Variable: DDF



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 6,079E-04 ,003

,201 ,840 -,005 ,007




D 2,274 ,029 ,972 ,013 77,286 ,000 2,216 2,331 ,972 ,972 ,972 1,000 1,000
a Dependent Variable: DDF

Coefficient Correlations(a)
Model D
1 Correlations D 1,000
Covariances D 8,654E-04
a Dependent Variable: DDF

Swept Correlation Matrix(a)

Columns
Model Rows D DDF
1 D 1,000(xx) -,972(xy)
DDF ,972(yx) ,055(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: DDF



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) D
1 1 1,978 1,000 ,01 ,01
2 2,195E-02 9,493 ,99 ,99
a Dependent Variable: DDF

EQUATION 14

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f Hr H2r/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER Hr H2r.
Resources Memory Required 1964 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 H2R, HR(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,074(a) ,005 ,000 2,02403E-02 ,005 ,951 2 347 ,387 -2727,070 1,012 3,000 -2715,496
a Predictors: (Constant), H2R, HR

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 7,795E-04 2 3,898E-04 ,951 ,387(a)
Residual ,142 347 4,097E-04

Total ,143 349


a Predictors: (Constant), H2R, HR
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,447 ,017

25,872 ,000 ,413 ,481




HR -,240 ,409 -,213 ,362 -,587 ,557 -1,044 ,564 ,061 -,032 -,031 ,022 45,801
H2R 1,788 2,336 ,277 ,362 ,765 ,445 -2,807 6,384 ,067 ,041 ,041 ,022 45,801
a Dependent Variable: F

Coefficient Correlations(a)
Model H2R HR
1 Correlations H2R 1,000 -,989
HR -,989 1,000
Covariances H2R 5,459 -,944
HR -,944 ,167
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows H2R HR F
1 H2R 45,801(xx) -45,299 -,277(xy)
HR -45,299 45,801(xx) ,213(xy)
F ,277(yx) -,213(yx) ,995(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) HR H2R
1 1 2,900 1,000 ,00 ,00 ,00
2 9,936E-02 5,402 ,02 ,00 ,02
3 7,076E-04 64,017 ,98 1,00 ,98
a Dependent Variable: F

EQUATION 15

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f HdHsq/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER HdHsq.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 HDHSQ(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,064(a) ,004 ,001 2,02250E-02 ,004 1,431 1 348 ,232 -2728,592 1,007 2,000 -2720,876
a Predictors: (Constant), HDHSQ

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 5,854E-04 1 5,854E-04 1,431 ,232(a)
Residual ,142 348 4,090E-04

Total ,143 349


a Predictors: (Constant), HDHSQ
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,416 ,020

20,713 ,000 ,376 ,455




HDHSQ 1,928E-02 ,016 ,064 ,053 1,196 ,232 -,012 ,051 ,064 ,064 ,064 1,000 1,000
a Dependent Variable: F

Coefficient Correlations(a)
Model HDHSQ
1 Correlations HDHSQ 1,000
Covariances HDHSQ 2,599E-04
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows HDHSQ F
1 HDHSQ 1,000(xx) -,064(xy)
F ,064(yx) ,996(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) HDHSQ
1 1 1,999 1,000 ,00 ,00
2 1,452E-03 37,100 1,00 1,00
a Dependent Variable: F

EQUATION 16

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f Hr/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER Hr.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 HR(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,061(a) ,004 ,001 2,02282E-02 ,004 1,319 1 348 ,252 -2728,479 1,008 2,000 -2720,763
a Predictors: (Constant), HR

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 5,395E-04 1 5,395E-04 1,319 ,252(a)
Residual ,142 348 4,092E-04

Total ,143 349


a Predictors: (Constant), HR
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,434 ,005

89,303 ,000 ,425 ,444




HR 6,928E-02 ,060 ,061 ,054 1,148 ,252 -,049 ,188 ,061 ,061 ,061 1,000 1,000
a Dependent Variable: F

Coefficient Correlations(a)
Model HR
1 Correlations HR 1,000
Covariances HR 3,640E-03
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows HR F
1 HR 1,000(xx) -,061(xy)
F ,061(yx) ,996(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) HR
1 1 1,975 1,000 ,01 ,01
2 2,504E-02 8,881 ,99 ,99
a Dependent Variable: F

EQUATION 17

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = Hdf H/ STATISTICS = all/ DEPENDENT = Hdf/
METHOD = ENTER H.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 H(a) , Enter
a All requested variables entered.
b Dependent Variable: HDF





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,974(a) ,948 ,948 1,5621 ,948 6375,043 1 348 ,000 314,203 ,052 2,000 321,919
a Predictors: (Constant), H

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 15555,514 1 15555,514 6375,043 ,000(a)
Residual 849,142 348 2,440

Total 16404,656 349


a Predictors: (Constant), H
b Dependent Variable: HDF



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) -,563 ,397

-1,416 ,158 -1,344 ,219




H 2,323 ,029 ,974 ,012 79,844 ,000 2,266 2,380 ,974 ,974 ,974 1,000 1,000
a Dependent Variable: HDF

Coefficient Correlations(a)
Model H
1 Correlations H 1,000
Covariances H 8,466E-04
a Dependent Variable: HDF

Swept Correlation Matrix(a)

Columns
Model Rows H HDF
1 H 1,000(xx) -,974(xy)
HDF ,974(yx) ,052(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: HDF



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) H
1 1 1,978 1,000 ,01 ,01
2 2,232E-02 9,414 ,99 ,99
a Dependent Variable: HDF

EQUATION 18

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f HdD H2dD/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER HdD H2dD.
Resources Memory Required 1964 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 H2DD, HDD(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,185(a) ,034 ,029 1,99437E-02 ,034 6,179 2 347 ,002 -2737,404 ,982 3,000 -2725,830
a Predictors: (Constant), H2DD, HDD

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 4,915E-03 2 2,458E-03 6,179 ,002(a)
Residual ,138 347 3,977E-04

Total ,143 349


a Predictors: (Constant), H2DD, HDD
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,503 ,019

25,976 ,000 ,465 ,541




HDD -4,888E-04 ,000 -,195 ,067 -2,917 ,004 -,001 ,000 -,185 -,155 -,154 ,621 1,609
H2DD 7,789E-07 ,000 ,017 ,067 ,247 ,805 ,000 ,000 -,104 ,013 ,013 ,621 1,609
a Dependent Variable: F

Coefficient Correlations(a)
Model H2DD HDD
1 Correlations H2DD 1,000 -,615
HDD -,615 1,000
Covariances H2DD 9,932E-12 -3,249E-10
HDD -3,249E-10 2,809E-08
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows H2DD HDD F
1 H2DD 1,609(xx) -,990 -,017(xy)
HDD -,990 1,609(xx) ,195(xy)
F ,017(yx) -,195(yx) ,966(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) HDD H2DD
1 1 2,967 1,000 ,00 ,00 ,00
2 3,218E-02 9,602 ,02 ,01 ,69
3 1,303E-03 47,708 ,98 ,99 ,30
a Dependent Variable: F

EQUATION 19

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f Hr H2dD/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER Hr H2dD.
Resources Memory Required 1964 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 H2DD, HR(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,152(a) ,023 ,018 2,00595E-02 ,023 4,110 2 347 ,017 -2733,351 ,994 3,000 -2721,777
a Predictors: (Constant), H2DD, HR

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 3,308E-03 2 1,654E-03 4,110 ,017(a)
Residual ,140 347 4,024E-04

Total ,143 349


a Predictors: (Constant), H2DD, HR
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,506 ,028

18,268 ,000 ,451 ,560




HR -,385 ,183 -,341 ,162 -2,101 ,036 -,745 -,025 ,061 -,112 -,111 ,107 9,371
H2DD -2,006E-05 ,000 -,426 ,162 -2,623 ,009 ,000 ,000 -,104 -,139 -,139 ,107 9,371
a Dependent Variable: F

Coefficient Correlations(a)
Model H2DD HR
1 Correlations H2DD 1,000 ,945
HR ,945 1,000
Covariances H2DD 5,852E-11 1,324E-06
HR 1,324E-06 3,354E-02
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows H2DD HR F
1 H2DD 9,371(xx) 8,857 ,426(xy)
HR 8,857 9,371(xx) ,341(xy)
F -,426(yx) -,341(yx) ,977(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) HR H2DD
1 1 2,898 1,000 ,00 ,00 ,00
2 ,101 5,352 ,00 ,03 ,03
3 9,829E-04 54,299 1,00 ,97 ,97
a Dependent Variable: F

EQUATION 20

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f H2dD/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER H2dD.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 H2DD(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,104(a) ,011 ,008 2,01576E-02 ,011 3,770 1 348 ,053 -2730,927 1,001 2,000 -2723,212
a Predictors: (Constant), H2DD

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 1,532E-03 1 1,532E-03 3,770 ,053(a)
Residual ,141 348 4,063E-04

Total ,143 349


a Predictors: (Constant), H2DD
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,448 ,005

97,233 ,000 ,439 ,457




H2DD -4,876E-06 ,000 -,104 ,053 -1,942 ,053 ,000 ,000 -,104 -,104 -,104 1,000 1,000
a Dependent Variable: F

Coefficient Correlations(a)
Model H2DD
1 Correlations H2DD 1,000
Covariances H2DD 6,306E-12
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows H2DD F
1 H2DD 1,000(xx) ,104(xy)
F -,104(yx) ,989(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) H2DD
1 1 1,972 1,000 ,01 ,01
2 2,768E-02 8,441 ,99 ,99
a Dependent Variable: F

EQUATION 21

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f H HdD/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER H HdD.
Resources Memory Required 1964 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 HDD, H(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,186(a) ,034 ,029 1,99433E-02 ,034 6,186 2 347 ,002 -2737,417 ,982 3,000 -2725,843
a Predictors: (Constant), HDD, H

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 4,921E-03 2 2,460E-03 6,186 ,002(a)
Residual ,138 347 3,977E-04

Total ,143 349


a Predictors: (Constant), HDD, H
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,502 ,018

28,306 ,000 ,467 ,537




H 1,099E-04 ,000 ,016 ,057 ,272 ,786 -,001 ,001 -,059 ,015 ,014 ,847 1,181
HDD -4,786E-04 ,000 -,191 ,057 -3,333 ,001 -,001 ,000 -,185 -,176 -,176 ,847 1,181
a Dependent Variable: F

Coefficient Correlations(a)
Model HDD H
1 Correlations HDD 1,000 -,392
H -,392 1,000
Covariances HDD 2,062E-08 -2,270E-08
H -2,270E-08 1,630E-07
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows HDD H F
1 HDD 1,181(xx) -,463 ,191(xy)
H -,463 1,181(xx) -,016(xy)
F -,191(yx) ,016(yx) ,966(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) H HDD
1 1 2,971 1,000 ,00 ,00 ,00
2 2,713E-02 10,466 ,03 ,92 ,01
3 1,700E-03 41,810 ,97 ,08 ,99
a Dependent Variable: F

EQUATION 22

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f HdD/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER HdD.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 HDD(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,185(a) ,034 ,031 1,99167E-02 ,034 12,330 1 348 ,001 -2739,342 ,977 2,000 -2731,626
a Predictors: (Constant), HDD

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 4,891E-03 1 4,891E-03 12,330 ,001(a)
Residual ,138 348 3,967E-04

Total ,143 349


a Predictors: (Constant), HDD
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,501 ,018

28,510 ,000 ,467 ,536




HDD -4,633E-04 ,000 -,185 ,053 -3,511 ,001 -,001 ,000 -,185 -,185 -,185 1,000 1,000
a Dependent Variable: F

Coefficient Correlations(a)
Model HDD
1 Correlations HDD 1,000
Covariances HDD 1,741E-08
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows HDD F
1 HDD 1,000(xx) ,185(xy)
F -,185(yx) ,966(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) HDD
1 1 1,998 1,000 ,00 ,00
2 1,835E-03 33,000 1,00 1,00
a Dependent Variable: F

EQUATION 23

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f D2Hr/ ORIGIN/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER D2Hr.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b,c)
Model Variables Entered Variables Removed Method
1 D2HR(a) , Enter
a All requested variables entered.
b Dependent Variable: F
c Linear Regression through the Origin





Model Summary

R R Square(a) Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,840(b) ,705 ,705 ,239187 ,705 836,016 1 349 ,000 -1000,360 ,296 1,000 -996,502
a For regression through the origin (the no-intercept model), R Square measures the proportion of the variability in the dependent variable about the origin explained by regression. This CANNOT be compared to R Square for models which include an intercept.
b Predictors: D2HR

ANOVA(c,d)
Model Sum of Squares df Mean Square F Sig.
1 Regression 47,829 1 47,829 836,016 ,000(a)
Residual 19,966 349 5,721E-02

Total 67,795(b) 350


a Predictors: D2HR
b This total sum of squares is not corrected for the constant because the constant is zero for regression through the origin.
c Dependent Variable: F
d Linear Regression through the Origin



Coefficients(a,b)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 D2HR 3,248E-02 ,001 ,840 ,029 28,914 ,000 ,030 ,035 ,840 ,840 ,840 1,000 1,000
a Dependent Variable: F
b Linear Regression through the Origin

Coefficient Correlations(a,b)
Model D2HR
1 Correlations D2HR 1,000
Covariances D2HR 1,261E-06
a Dependent Variable: F
b Linear Regression through the Origin

Swept Correlation Matrix(a,b)

Columns
Model Rows D2HR F
1 D2HR 1,000(xx) -,840(xy)
F ,840(yx) ,295(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F
b Linear Regression through the Origin



Collinearity Diagnostics(a,b)

Eigenvalue Condition Index Variance Proportions
Model Dimension D2HR
1 1 1,000 1,000 1,00
a Dependent Variable: F
b Linear Regression through the Origin

EQUATION 24

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f D2Hr/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER D2Hr.
Resources Memory Required 1764 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 D2HR(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,047(a) ,002 -,001 2,02444E-02 ,002 ,760 1 348 ,384 -2727,919 1,009 2,000 -2720,203
a Predictors: (Constant), D2HR

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 3,113E-04 1 3,113E-04 ,760 ,384(a)
Residual ,143 348 4,098E-04

Total ,143 349


a Predictors: (Constant), D2HR
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,438 ,002

219,931 ,000 ,434 ,442




D2HR 1,525E-04 ,000 ,047 ,054 ,872 ,384 ,000 ,000 ,047 ,047 ,047 1,000 1,000
a Dependent Variable: F

Coefficient Correlations(a)
Model D2HR
1 Correlations D2HR 1,000
Covariances D2HR 3,064E-08
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows D2HR F
1 D2HR 1,000(xx) -,047(xy)
F ,047(yx) ,998(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) D2HR
1 1 1,840 1,000 ,08 ,08
2 ,160 3,387 ,92 ,92
a Dependent Variable: F

EQUATION 25

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f Dr D2r Hr/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER Dr D2r Hr.
Resources Memory Required 2204 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 HR, DR, D2R(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,194(a) ,038 ,029 1,99372E-02 ,038 4,531 3 346 ,004 -2736,642 ,984 4,000 -2721,210
a Predictors: (Constant), HR, DR, D2R

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 5,403E-03 3 1,801E-03 4,531 ,004(a)
Residual ,138 346 3,975E-04

Total ,143 349


a Predictors: (Constant), HR, DR, D2R
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,424 ,023

18,146 ,000 ,378 ,470




DR -3,635E-03 ,004 -,365 ,393 -,931 ,352 -,011 ,004 ,014 -,050 -,049 ,018 55,416
D2R -2,159E-04 ,000 -,467 ,478 -,977 ,329 -,001 ,000 ,023 -,052 -,052 ,012 82,283
HR ,983 ,284 ,872 ,252 3,463 ,001 ,425 1,541 ,061 ,183 ,183 ,044 22,790
a Dependent Variable: F

Coefficient Correlations(a)
Model HR DR D2R
1 Correlations HR 1,000 ,074 -,575
DR ,074 1,000 -,851
D2R -,575 -,851 1,000
Covariances HR 8,058E-02 8,189E-05 -3,603E-05
DR 8,189E-05 1,524E-05 -7,341E-07
D2R -3,603E-05 -7,341E-07 4,880E-08
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows HR DR D2R F
1 HR 22,790(xx) 2,626 -24,884 -,872(xy)
DR 2,626 55,416(xx) -57,479 ,365(xy)
D2R -24,884 -57,479 82,283(xx) ,467(xy)
F ,872(yx) -,365(yx) -,467(yx) ,962(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) DR D2R HR
1 1 3,928 1,000 ,00 ,00 ,00 ,00
2 6,945E-02 7,521 ,02 ,00 ,01 ,00
3 1,751E-03 47,365 ,02 ,07 ,07 ,89
4 4,035E-04 98,672 ,96 ,93 ,91 ,11
a Dependent Variable: F

EQUATION 26

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f D2r Hr D2Hr/ STATISTICS = all/ DEPENDENT = f/
METHOD = ENTER D2r Hr D2Hr.
Resources Memory Required 2204 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 D2HR, HR, D2R(a) , Enter
a All requested variables entered.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,194(a) ,038 ,029 1,99386E-02 ,038 4,514 3 346 ,004 -2736,592 ,985 4,000 -2721,160
a Predictors: (Constant), D2HR, HR, D2R

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 5,383E-03 3 1,794E-03 4,514 ,004(a)
Residual ,138 346 3,975E-04

Total ,143 349


a Predictors: (Constant), D2HR, HR, D2R
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,414 ,014

28,702 ,000 ,386 ,442




D2R -4,634E-04 ,000 -1,003 ,305 -3,287 ,001 -,001 ,000 ,023 -,174 -,173 ,030 33,506
HR ,879 ,314 ,780 ,279 2,797 ,005 ,261 1,497 ,061 ,149 ,147 ,036 27,939
D2HR 8,802E-04 ,001 ,269 ,298 ,904 ,367 -,001 ,003 ,047 ,049 ,048 ,031 31,898
a Dependent Variable: F

Coefficient Correlations(a)
Model D2HR HR D2R
1 Correlations D2HR 1,000 -,434 -,569
HR -,434 1,000 -,477
D2R -,569 -,477 1,000
Covariances D2HR 9,479E-07 -1,330E-04 -7,807E-08
HR -1,330E-04 9,881E-02 -2,114E-05
D2R -7,807E-08 -2,114E-05 1,987E-08
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows D2HR HR D2R F
1 D2HR 31,898(xx) -12,970 -18,595 -,269(xy)
HR -12,970 27,939(xx) -14,599 -,780(xy)
D2R -18,595 -14,599 33,506(xx) 1,003(xy)
F ,269(yx) ,780(yx) -1,003(yx) ,962(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) D2R HR D2HR
1 1 3,824 1,000 ,00 ,00 ,00 ,00
2 ,171 4,725 ,02 ,00 ,00 ,02
3 3,249E-03 34,307 ,15 ,77 ,00 ,79
4 1,258E-03 55,138 ,83 ,23 1,00 ,19
a Dependent Variable: F

EQUATION 27

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = f Dr D2r Hr DHr D2Hr/ STATISTICS = all/
DEPENDENT = f/
METHOD = ENTER Dr D2r Hr DHr D2Hr.
Resources Memory Required 2772 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 D2HR, DR, HR, D2R(a) , Enter
a Tolerance = ,000 limits reached.
b Dependent Variable: F





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,195(a) ,038 ,027 1,99657E-02 ,038 3,392 4 345 ,010 -2734,655 ,990 5,000 -2715,366(b)
a Predictors: (Constant), D2HR, DR, HR, D2R
b Multicollinearity is present. The following variables were not included in the full model used for calculation of the Mallows' Prediction Criterion: DHR

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 5,408E-03 4 1,352E-03 3,392 ,010(a)
Residual ,138 345 3,986E-04

Total ,143 349


a Predictors: (Constant), D2HR, DR, HR, D2R
b Dependent Variable: F



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) ,422 ,033

12,601 ,000 ,356 ,487




DR -2,552E-03 ,010 -,257 1,027 -,250 ,803 -,023 ,018 ,014 -,013 -,013 ,003 378,251
D2R -2,921E-04 ,001 -,632 1,516 -,417 ,677 -,002 ,001 ,023 -,022 -,022 ,001 824,191
HR ,948 ,418 ,841 ,371 2,267 ,024 ,125 1,770 ,061 ,121 ,120 ,020 49,295
D2HR 2,922E-04 ,003 ,089 ,779 ,115 ,909 -,005 ,005 ,047 ,006 ,006 ,005 217,724
a Dependent Variable: F





Excluded Variables(b)

Beta In t Sig. Partial Correlation Collinearity Statistics
Model Tolerance VIF Minimum Tolerance
1 DHR -18,092(a) -2,956 ,003 -,157 7,284E-05 13728,839 7,284E-05
a Predictors in the Model: (Constant), D2HR, DR, HR, D2R
b Dependent Variable: F

Coefficient Correlations(a)
Model D2HR DR HR D2R
1 Correlations D2HR 1,000 ,924 -,733 -,949
DR ,924 1,000 -,658 -,979
HR -,733 -,658 1,000 ,572
D2R -,949 -,979 ,572 1,000
Covariances D2HR 6,488E-06 2,404E-05 -7,809E-04 -1,692E-06
DR 2,404E-05 1,043E-04 -2,811E-03 -7,005E-06
HR -7,809E-04 -2,811E-03 ,175 1,675E-04
D2R -1,692E-06 -7,005E-06 1,675E-04 4,902E-07
a Dependent Variable: F

Swept Correlation Matrix(a)

Columns
Model Rows D2HR DR HR D2R F DHR
1 D2HR 217,724(xx) 265,120 -75,965 -401,909 -,089(xy) -,523(x~)
DR 265,120 378,251(xx) -89,876 -546,880 ,257(xy) -,135(x~)
HR -75,965 -89,876 49,295(xx) 115,345 -,841(xy) -,344(x~)
D2R -401,909 -546,880 115,345 824,191(xx) ,632(xy) -,008(x~)
F ,089(yx) -,257(yx) ,841(yx) -,632(yx) ,962(yy) -,001(y~)
DHR ,523(~x) ,135(~x) ,344(~x) ,008(~x) -,001(~y) ,000(~~)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
x~ Row variable is an independent variable, column variable is an excluded independent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
y~ Row variable is the dependent variable, column variable is an excluded independent variable.
~x Row variable is an excluded independent variable, column variable is an independent variable.
~y Row variable is an excluded independent variable, column variable is the dependent variable.
~~ This variable is an excluded predictor.
a Dependent Variable: F



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) DR D2R HR D2HR
1 1 4,814 1,000 ,00 ,00 ,00 ,00 ,00
2 ,180 5,171 ,00 ,00 ,00 ,00 ,00
3 4,320E-03 33,385 ,04 ,00 ,01 ,01 ,07
4 1,266E-03 61,659 ,15 ,00 ,01 ,58 ,04
5 5,509E-05 295,622 ,80 1,00 ,98 ,41 ,89
a Dependent Variable: F

EQUATION 28

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = fl Dl Hl/ STATISTICS = all/ DEPENDENT = fl/
METHOD = ENTER Dl Hl.
Resources Memory Required 1964 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 HL, DL(a) , Enter
a All requested variables entered.
b Dependent Variable: FL





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,193(a) ,037 ,032 4,560E-02 ,037 6,679 2 347 ,001 -2158,470 ,980 3,000 -2146,896
a Predictors: (Constant), HL, DL

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 2,778E-02 2 1,389E-02 6,679 ,001(a)
Residual ,722 347 2,080E-03

Total ,749 349


a Predictors: (Constant), HL, DL
b Dependent Variable: FL



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) -,109 ,199

-,545 ,586 -,501 ,284




DL ,148 ,043 ,644 ,187 3,442 ,001 ,064 ,233 -,011 ,182 ,181 ,079 12,611
HL -,144 ,039 -,683 ,187 -3,649 ,000 -,222 -,066 -,065 -,192 -,192 ,079 12,611
a Dependent Variable: FL

Coefficient Correlations(a)
Model HL DL
1 Correlations HL 1,000 -,960
DL -,960 1,000
Covariances HL 1,557E-03 -1,633E-03
DL -1,633E-03 1,861E-03
a Dependent Variable: FL

Swept Correlation Matrix(a)

Columns
Model Rows HL DL FL
1 HL 12,611(xx) -12,100 ,683(xy)
DL -12,100 12,611(xx) -,644(xy)
FL -,683(yx) ,644(yx) ,963(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: FL



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) DL HL
1 1 2,986 1,000 ,00 ,00 ,00
2 1,437E-02 14,413 ,00 ,02 ,02
3 9,940E-05 173,304 1,00 ,98 ,98
a Dependent Variable: FL

EQUATION 29

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = fl Dl Hl/ ORIGIN/ STATISTICS = all/
DEPENDENT = fl/ METHOD = ENTER Dl Hl.
Resources Memory Required 1964 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,01

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b,c)
Model Variables Entered Variables Removed Method
1 HL, DL(a) , Enter
a All requested variables entered.
b Dependent Variable: FL
c Linear Regression through the Origin





Model Summary

R R Square(a) Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,998(b) ,997 ,997 4,556E-02 ,997 57098,565 2 348 ,000 -2160,171 ,003 2,000 -2152,455
a For regression through the origin (the no-intercept model), R Square measures the proportion of the variability in the dependent variable about the origin explained by regression. This CANNOT be compared to R Square for models which include an intercept.
b Predictors: HL, DL

ANOVA(c,d)
Model Sum of Squares df Mean Square F Sig.
1 Regression 237,002 2 118,501 57098,565 ,000(a)
Residual ,722 348 2,075E-03

Total 237,724(b) 350


a Predictors: HL, DL
b This total sum of squares is not corrected for the constant because the constant is zero for regression through the origin.
c Dependent Variable: FL
d Linear Regression through the Origin



Coefficients(a,b)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 DL ,172 ,006 ,485 ,017 27,745 ,000 ,160 ,184 ,995 ,830 ,082 ,029 35,042
HL -,165 ,006 -,517 ,017 -29,548 ,000 -,176 -,154 -,995 -,846 -,087 ,029 35,042
a Dependent Variable: FL
b Linear Regression through the Origin

Coefficient Correlations(a,b)
Model HL DL
1 Correlations HL 1,000 ,986
DL ,986 1,000
Covariances HL 3,127E-05 3,412E-05
DL 3,412E-05 3,831E-05
a Dependent Variable: FL
b Linear Regression through the Origin

Swept Correlation Matrix(a,b)

Columns
Model Rows HL DL FL
1 HL 35,042(xx) 34,539 ,517(xy)
DL 34,539 35,042(xx) -,485(xy)
FL -,517(yx) ,485(yx) ,003(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: FL
b Linear Regression through the Origin



Collinearity Diagnostics(a,b)

Eigenvalue Condition Index Variance Proportions
Model Dimension DL HL
1 1 1,986 1,000 ,01 ,01
2 1,437E-02 11,754 ,99 ,99
a Dependent Variable: FL
b Linear Regression through the Origin

EQUATION 30

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = fl Dl Dl2 Hl Hl2/ STATISTICS = all/
DEPENDENT = fl/ METHOD = ENTER Dl Dl2 Hl Hl2.
Resources Memory Required 2468 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 HL2, DL, DL2, HL(a) , Enter
a All requested variables entered.
b Dependent Variable: FL





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,211(a) ,044 ,033 4,556E-02 ,044 4,000 4 345 ,003 -2157,115 ,983 5,000 -2137,825
a Predictors: (Constant), HL2, DL, DL2, HL

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 3,321E-02 4 8,303E-03 4,000 ,003(a)
Residual ,716 345 2,076E-03

Total ,749 349


a Predictors: (Constant), HL2, DL, DL2, HL
b Dependent Variable: FL



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) -,295 ,282

-1,044 ,297 -,849 ,260




DL -8,165E-02 ,341 -,354 1,478 -,239 ,811 -,752 ,589 -,011 -,013 -,013 ,001 789,101
DL2 -6,143E-02 ,081 -1,218 1,599 -,762 ,447 -,220 ,097 ,015 -,041 -,040 ,001 923,290
HL -,107 ,371 -,506 1,760 -,288 ,774 -,837 ,623 -,065 -,015 -,015 ,001 1118,125
HL2 -1,659E-02 ,070 -,400 1,676 -,239 ,812 -,153 ,120 -,064 -,013 -,013 ,001 1014,390
a Dependent Variable: FL

Coefficient Correlations(a)
Model HL2 DL DL2 HL
1 Correlations HL2 1,000 -,829 -,803 -,991
DL -,829 1,000 ,990 ,854
DL2 -,803 ,990 1,000 ,846
HL -,991 ,854 ,846 1,000
Covariances HL2 4,834E-03 -1,964E-02 -4,504E-03 -2,557E-02
DL -1,964E-02 ,116 2,724E-02 ,108
DL2 -4,504E-03 2,724E-02 6,507E-03 2,534E-02
HL -2,557E-02 ,108 2,534E-02 ,138
a Dependent Variable: FL

Swept Correlation Matrix(a)

Columns
Model Rows HL2 DL DL2 HL FL
1 HL2 1014,390(xx) -741,301 -777,295 -1055,076 ,400(xy)
DL -741,301 789,101(xx) 845,387 802,597 ,354(xy)
DL2 -777,295 845,387 923,290(xx) 860,057 1,218(xy)
HL -1055,076 802,597 860,057 1118,125(xx) ,506(xy)
FL -,400(yx) -,354(yx) -1,218(yx) -,506(yx) ,956(yy)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
a Dependent Variable: FL



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) DL DL2 HL HL2
1 1 4,931 1,000 ,00 ,00 ,00 ,00 ,00
2 6,880E-02 8,465 ,00 ,00 ,00 ,00 ,00
3 2,783E-04 133,115 ,15 ,00 ,02 ,00 ,02
4 3,208E-05 392,068 ,56 ,11 ,11 ,04 ,05
5 3,232E-06 1235,244 ,29 ,89 ,87 ,96 ,93
a Dependent Variable: FL

EQUATION 31

Regression

Notes
Output Created 19-OCT-2004 09:25:50
Comments
Input Data C:\Documents and Settings\kiki\Desktop\Rennolls\FormFactor-Diameter-Height\f_d_h.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 350
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
Syntax REGRESSION VARIABLES = fl Dl Dl2 D2l Hl Hl2 DHl D2Hl/ STATISTICS = all/
DEPENDENT = fl/ METHOD = ENTER Dl Dl2 D2l Hl Hl2 DHl D2Hl.
Resources Memory Required 3468 bytes
Additional Memory Required for Residual Plots 0 bytes
Elapsed Time 0:00:00,02

Warnings
STATISTICS keywords LINE, END, and HISTORY are no longer supported.

Variables Entered/Removed(b)
Model Variables Entered Variables Removed Method
1 D2HL, HL, DL2, HL2(a) , Enter
a Tolerance = ,000 limits reached.
b Dependent Variable: FL





Model Summary

R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Selection Criteria
Model R Square Change F Change df1 df2 Sig. F Change Akaike Information Criterion Amemiya Prediction Criterion Mallows' Prediction Criterion Schwarz Bayesian Criterion
1 ,211(a) ,044 ,033 4,556E-02 ,044 4,000 4 345 ,003 -2157,115 ,983 5,000 -2137,825(b)
a Predictors: (Constant), D2HL, HL, DL2, HL2
b Multicollinearity is present. The following variables were not included in the full model used for calculation of the Mallows' Prediction Criterion: DL, D2L, DHL

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 3,321E-02 4 8,303E-03 4,000 ,003(a)
Residual ,716 345 2,076E-03

Total ,749 349


a Predictors: (Constant), D2HL, HL, DL2, HL2
b Dependent Variable: FL



Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B Correlations Collinearity Statistics
Model B Std. Error Beta Std. Error Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) -,295 ,282

-1,044 ,297 -,849 ,260




DL2 -6,143E-02 ,081 -1,218 1,599 -,762 ,447 -,220 ,097 ,015 -,041 -,040 ,001 923,290
HL -6,600E-02 ,242 -,313 1,149 -,272 ,785 -,543 ,411 -,065 -,015 -,014 ,002 476,459
HL2 -1,659E-02 ,070 -,400 1,676 -,239 ,812 -,153 ,120 -,064 -,013 -,013 ,001 1014,390
D2HL -4,082E-02 ,170 -,543 2,265 -,239 ,811 -,376 ,294 -,030 -,013 -,013 ,001 1852,684
a Dependent Variable: FL





Excluded Variables(b)

Beta In t Sig. Partial Correlation Collinearity Statistics
Model Tolerance VIF Minimum Tolerance
1 DL ,(a) , , , ,000 , ,000
D2L ,(a) , , , ,000 , ,000
DHL ,(a) , , , ,000 , ,000
a Predictors in the Model: (Constant), D2HL, HL, DL2, HL2
b Dependent Variable: FL

Coefficient Correlations(a)
Model D2HL HL DL2 HL2
1 Correlations D2HL 1,000 ,605 ,990 -,829
HL ,605 1,000 ,600 -,935
DL2 ,990 ,600 1,000 -,803
HL2 -,829 -,935 -,803 1,000
Covariances D2HL 2,905E-02 2,501E-02 1,362E-02 -9,819E-03
HL 2,501E-02 5,871E-02 1,173E-02 -1,575E-02
DL2 1,362E-02 1,173E-02 6,507E-03 -4,504E-03
HL2 -9,819E-03 -1,575E-02 -4,504E-03 4,834E-03
a Dependent Variable: FL

Swept Correlation Matrix(a)

Columns
Model Rows D2HL HL DL2 HL2 FL DL D2L DHL
1 D2HL 1852,684(xx) 568,848 1295,359 -1135,871 ,543(xy) -1,532(x~) -1,532(x~) -,740(x~)
HL 568,848 476,459(xx) 397,938 -649,853 ,313(xy) ,547(x~) ,547(x~) -,264(x~)
DL2 1295,359 397,938 923,290(xx) -777,295 1,218(xy) ,000(x~) ,000(x~) ,000(x~)
HL2 -1135,871 -649,853 -777,295 1014,390(xx) ,400(xy) ,000(x~) ,000(x~) ,000(x~)
FL -,543(yx) -,313(yx) -1,218(yx) -,400(yx) ,956(yy) ,000(y~) ,000(y~) ,000(y~)
DL 1,532(~x) -,547(~x) ,000(~x) ,000(~x) ,000(~y) ,000(~~) ,000 ,000
D2L 1,532(~x) -,547(~x) ,000(~x) ,000(~x) ,000(~y) ,000 ,000(~~) ,000
DHL ,740(~x) ,264(~x) ,000(~x) ,000(~x) ,000(~y) ,000 ,000 ,000(~~)
xx This variable is an independent variable.
xy Row variable is an independent variable, column variable is the dependent variable.
x~ Row variable is an independent variable, column variable is an excluded independent variable.
yx Row variable is the independent variable, column variable is an independent variable.
yy This variable is the dependent variable.
y~ Row variable is the dependent variable, column variable is an excluded independent variable.
~x Row variable is an excluded independent variable, column variable is an independent variable.
~y Row variable is an excluded independent variable, column variable is the dependent variable.
~~ This variable is an excluded predictor.
a Dependent Variable: FL



Collinearity Diagnostics(a)

Eigenvalue Condition Index Variance Proportions
Model Dimension (Constant) DL2 HL HL2 D2HL
1 1 4,865 1,000 ,00 ,00 ,00 ,00 ,00
2 ,135 6,010 ,00 ,00 ,00 ,00 ,00
3 2,771E-04 132,502 ,15 ,02 ,00 ,02 ,00
4 3,507E-05 372,436 ,35 ,30 ,11 ,00 ,31
5 7,136E-06 825,683 ,50 ,69 ,89 ,98 ,69
a Dependent Variable: FL