🎯 Learning Goals
- Learn the step-by-step procedure to perform regression analysis in SPSS.
- Know how to specify dependent and independent variables correctly.
- Request additional statistics and plots needed for proper interpretation.
Open the Dialog
Navigate through the menus to start your analysis.
Click Analyze → Regression → Linear…
- Move Dependent Variable to Dependent box.
- Move Independent Variable(s) to Independent(s) box.
Tip: Start with a simple regression (one variable), then extend to multiple regression.
This forces all predictors into the model at once. Other methods (Stepwise, Forward) exist, but Enter is best for transparency in standard assignments.
Choose the Method
Select "Enter" as your default method.
Request Statistics
Don't rely on the defaults. Get the full picture.
Click the Statistics… button and tick:
Scatterplot
Y-axis: ZRESID | X-axis: ZPRED
Normality
Tick Normal probability plot (P-P Plot)
Add Diagnostic Plots
Visual checks for linearity, homoscedasticity, and normality.
Save Residuals Optional
Useful for deeper diagnostics or specific assignments.
Click Save... to store standardized residuals in your dataset.
Output Generated:
- Model Summary R, R²
- ANOVA Table F-test
- Coefficients B, Beta, t, p
- Diagnostics Plots
Run Analysis
Click OK to generate your data.
🧠Quick Check-in
Test your understanding of the procedure.
1. Which method should you usually start with?
2. Which option gives VIF values?
3. Where do you check normality?