Question 10 (5 marks)

(a) 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?

https://docs.google.com/spreadsheets/d/1oZcm7Tk5rw4y5gzAOq_8imdOEDEvaHaJ/edit?usp=sharing&ouid=105490131758091623341&rtpof=true&sd=true

Link for Churn XLX