Multiple Regression using SPSS
  1. Open SPSS.
  2. Click on Analyze.
  3. Click on Regression .
  4. Click on Linear.
  5. Enter the name of your dependent variable in the box labeled 'Dependent' (green arrow below).
  6. Enter the name of your independent variables in the box labeled 'Independent(s)' (red arrow below).
  7. Click OK .

  8. The output for your Regression model appears below.
  9. The pink circles in the middle table indicate the results of the ANOVA to determine whether any of your independent variables are significant predictors of visits home. The orange circle in the top table indicates the R-squared value, which tells you how much of the variance in visits home is explained by your model.
  10. The p-values in the bottom table (purple circle) tell you which of your independent variables are significant predictors of visits home. Assuming that your overall model is predictor of visits home, you should use these values to determine which independent variables might be eliminated from the model (e.g., those that are least likely to be significant predictors).
  11. You would then re-run the model and examine the effect of eliminating variables on R-squared. Remember that our goal is to maximize R-Squared with the smallest number of predictor variables.