Multiple Regression

ANALYSE > REGRESSION > LINEAR

Citerion Variable > Dependent Box

If Hierachical - One Independent Variable per Block.

If Stepwise - All Independent Variables in on Block. 

Statistics > Estimates - Model Fit - R Squared Change - Descriptives > Continue.

Correlations

Pearsons Values shows the correlation.

Model Summary 

R = Correlation for each model including all predictors in the model 

• Model 1 = 1 Predictor Variable 
• Model 2 = 2 Predictor Variables
• Model 3 = 3 Predictor Variables

R Square = Variance Explained

.334 = 33.4%

R Square Change = The difference from one value to the next - Check Significance!

If insig - run analysis again removing the insig varaible. 

ANOVA

Sig values for each model suggests if results are better than chance. 

Coefficients 

Last model - 

B = Correlational Value 

Beta = Larger the Beta the more important the Variable is.

Sig = Significance. 

Aim - Relationship between 

Variables - What variables - How are they measured?

Analysis - What analysis was used

Significance of Predictors ( t, p)

Significance of Final Model ( F(DF,DF) = f, p)

Table