A marketing manager wants to predict customers with the risk of churning (switching their service contracts to another company) based on the number of calls the customer makes to the company call center and the number of visits the customer makes to the local service center. Data from a random sample of 30 cus-tomers, organized and stored in Churn show that 15 have churned (coded as 1) and 15 have not (coded as 0)
Develop a logistic regression model to predict the probability of churn, based on the number of calls the customer makes to the company call center and the number of visits the customer makes to the local service center