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.
Pearsons Values shows the correlation.
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.
Sig values for each model suggests if results are better than chance.
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)