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We Perform data Analysis and build Models say for example I have builted Linear Regression Model having More than one Predictor ( Multiple Regression). We check so many things Normality Multicollinearity etc etc, I am Specific here We check Multicollinearity for numeric variable, We Check VIF etc etc , If we found there is a Multicollinearity we kind of drop of one of the feature highly correlated,...

My Question is what same can be done with Categorical Variable, I mean if two categorical variables are associated does it mean i have to drop it, I am not clear, how to handle categorical variable like we handle correlations and Numeric variable.

In a poor language what do we mean by two factor variables are correlated or dependent or independent ...what if there is Multucolliniearity...how to identify that multicollinearity...how to deal with it

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