Make a predictions for the query using logistic regression model.

(c) A multivariate logistic regression model has been built to predict the propensity of customers of a broadband company to renew their contract. The descriptive a features used by the model are the age of the customer (AGE), the current speed of the broadband (SPEED), and the average number of calls the customer makes to the customer service help line per year (CUST SERV). This model is being used by the marketing department to determine which cus- tomers should be approached with more competitive offers. The trained model is RENEW = -3.81 (0.03 x AGE) + (0.02 SPEED) +(0.81 x CUST SERV) The logistic function is defined as: logistic(x) 1 1+ e- Assuming that the yes level is the positive level and the classification threshold is 0.5, use this model to make predictions for the query instance below. ID idi AGE 30 CUST SERV 1.25 SPEED 120 (10 marks)