When building a regression, I used SPSS Weighted Least Squares Regression to adjust for heteroscedaticity.
When building the WEIGHT variable, does SPSS allow me to include multiple layers and multiple independent variables. See below.
*COMMENT To generate the unstandardized residuals.
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Holistic
/METHOD=ENTER Outside
/METHOD=ENTER HoursWeekReading2 HoursWeekListening2 HoursWeekConversing2
/SAVE RESID.
*COMMENT Set Absolute value for AbsRES.
COMPUTE AbsRES=abs(RES_1).
EXECUTE.
*Comment This generates the predicted residuals.
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT AbsRES
/METHOD=ENTER Outside
/METHOD=ENTER HoursWeekReading2 HoursWeekListening2 HoursWeekConversing2
/SAVE PRED.
*COMMENT Create Weight variable.
COMPUTE WEIGHT=1/(PRED_1**2).
EXECUTE.
*COMMENT Run the Weighted Least Squares Model.
REGRESSION
/MISSING LISTWISE
/REGWGT=WEIGHT
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Holistic
/METHOD=ENTER Outside
/METHOD=STEPWISE HoursWeekReading HoursWeekListening HoursWeekConversing.
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Stafford Cox
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#SPSSStatistics