I have two binary logistic models, in each model 3 independent predictors. 2 of them nominal variables. and one is continuous
The first model show that all predictors in the regression are significant. But when I do the correlation test one of the variables is found with no significant correlation with the dependent variable.
The second model find that all independent variables are insignificant in the regression, while the correlation test show that each one of them has strong correlation with the dependent variable.
I study accounting and i took basic statistics courses, i really appreciate your help in understanding and interpreting (in statistical terms) these results