This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: the variables • tolerance (1/VIF) o .1 or less is a problem ← ← Regression in SPSS ← Analyze regression linear ← Outcome dependent ← Move independent variable you know has an effect block 1 ← Click “next” ← All other independent variables block 2 ← Click “stat” check: estimates, model fit, r-square change, collinearity diagnostics ← ←- r-square turn into percent ←- look at r-square change for variables entered into model 2 ← ←- anova table F ratios (overall fit of the model) • look at the significance ← ←-coefficients table • t statistic see if it’s significant (compare to .05) o if significant: means the variance has a significant effect on the outcome • unstandardized B slope • standardized B strength of effect ←...
View Full Document
- Spring '08
- Regression Analysis, variance inflation factor, highest semi-partial correlation