1. Telecommunications companies providing cell-phone service are interested in customer retention. In particular, identifying customers who are about to churn (cancel their service) is potentially worth millions of dollars if the company can proactively address the reason that customer is considering cancellation and retain the customer.The file Cellphone contains customer data to be used to classify a customer as a churner or not.
2. Generate a predictive regression model (under Linear Models in SAS), noting that the input data set includes validation and test data. Specify sample proportions of 40% for validation cases and 50% as testing cases. Also, set the random seed to 12345. Put in all the variables and leave Model and Selection at their defaults. Which variables were included in the final regression of this analysis? _____________________________________________
3. What is the r-squared of this final regression? _____________. This model would be considered (sufficient / lacking) as a predictor of churning among customers.