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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 its 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...
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This note was uploaded on 08/30/2010 for the course PSYC 209 taught by Professor Hoffman during the Spring '08 term at University of Delaware.
- Spring '08