Have 7 categorical independent variables and 3 dependent binary variables. Tried Pearson’s coefficient but later realized that it is for the case of continuous variables. Tried chi-square but later realised that the contingency table must have non-zero frequency cells. Tried Fisher’s too.
Does having categorical dependent variables along with categorical independent variables in the dataframe make any difference in finding the correlation between independent variables?