a) Generate correlation table for the 12 numerical predictors and search for highly correlated pairs. These have potential redundancy and can cause multicollinearity. If we decide that those variables with the 3 lowest correlation scores with MEDV and the variable that is most correlated with other variables should be removed, which variables would those be?