The term churn is common in marketing. It means that a customer switches loyalty to another company. The file P08_19.xlsx contains data on over 3000 customers of a cell phone provider. Columns B...

The term churn is common in marketing. It means that a customer switches loyalty to another company. The file P08_19.xlsx contains data on over 3000 customers of a cell phone provider. Columns B through N provide information about the account and usage of each customer, and column O indicates whether the customer churned during the given period of time. Use these data to develop a rule for predicting whether a customer will churn. Can you make any (qualitative) sense out of the discriminant function? Does this problem appear to be much harder for Evolutionary Solver because of the large size of the data set?