SPSSX Discussion - Confusing SPSS outputs in Linear Regression Analysis

Confusing SPSS outputs in Linear Regression Analysis

Posted by E. Bernardo on
URL: http://spssx-discussion.165.s1.nabble.com/Confusing-SPSS-outputs-in-Linear-Regression-Analysis-tp5731271.html

Dear members,

My linear regression analysis has seven binary predictors, n=47, and (of course) a continuous dependent. The overall regression anova is nonsignificant (F=1.489, p = .200). The confusing is that two out of the seven predictors are significant (p<.05). I dont think there is multicollinearity problem because the collinearity diagnostics statistics seem look fine. For example, no beta coefficients of predictors greater than 1.0; Tolerance of the predictors range between .559 and .814; VIF of predictors range from 1.224 and 1.669; correlation coefficients among predictors are between .009 and .757 but most are below .30.

Any comments are welcome.

Thank you.

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