Estimate a logistic regression model with the binary variable
Estimate a logistic regression model with the binary variable Churn Label as the outcome/dependent variables (i.e., Y) and the following variables as independent variables (i.e., X variables): Gender, Internet Service, Tenure, Monthly Charges. Report the statistical significance of all the independent variables. The output should be in the following format (3 marks):
| Coefficient | p-value | Statistically significant? | |
| Intercept | |||
| Tenure Months | |||
| Monthly Charges | |||
| Gender = Male | |||
| Internet Service = Fiber Optic | |||
| Internet Service = No |
(b) Based on the regression output above, answer the following questions (2 marks):
(i) Is there a difference in the propensity to churn between male and female customers?
(ii) If the tenure increases by 1 month, what is your estimate of the change in the propensity of churn?
