Regression calculates table of predicted values
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | * Objective: Regress salary based on age and sex. * Then calculate Table of predicted salary for all ages between 20 & 65 and both sexes. * Raynald Levesque 2001/03/13. * Create dummy cases for the Table, with ages 20 to 65 and sexes 1 and 2. INPUT PROGRAM. LOOP sex=1 TO 2. LEAVE sex. LOOP age=25 TO 65. XSAVE OUTFILE='c:\\temp\\dummy cases.sav'. END CASE. END LOOP. END LOOP. END FILE. END INPUT PROGRAM. EXECUTE. GET FILE='C:\\Program Files\\SPSS\\Employee data.sav'. COMPUTE age=CTIME.DAYS(DATE.DMY(1,1,1998)- bdate)/365.25. AUTORECODE VARIABLES gender /INTO sex. * Add the dummy cases. ADD FILES /FILE=* /FILE='C:\\Temp\\dummy cases.sav' /IN=source01. * Do the regression excluding the dummy cases. REGRESSION /SELECT= source01 EQ 0 /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT salary /METHOD=ENTER age sex /SAVE PRED . * Keep only the table for ages 25 to 65 (ie the dummy cases). SELECT IF source01=1. MATCH FILES FILE=* /KEEP age sex pre_1. |
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