# Multiple Regression

## Analysis

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.

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## Interpretting

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.

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## Interpretting Continued

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.

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## Reporting.

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

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