Logistic regression

a. The file RFMdata.xlsx contains the following data:

Whether a person responded (dependent variable = 1) or did not respond (dependent variable = 0) to the most recent direct mail campaign.

R: recency (time since last purchase) measured on a 15 scale; 5 indicates a recent purchase.

F: frequency (how many orders placed in the last year) measured on a 15 scale with a 5 indicating many recent purchases.

M: monetary value (total amount purchased in last year) measured on a 15 scale with a 5 indicating the person spent a lot of money in the last year on purchases.

Use this data to build logistic regression model to predict based on R, F, and M whether a person will respond to a mailing.