A car manufacturer would like to develop a regression model that would predict t

Question

A car manufacturer would like to develop a regression model that would predict the number of cars sold per month by a dealership employee based on the employee's numberof years of sales experience (Exp), the employee's weekly base salary before commissions (Salary), and the education level of the employee. There are three levelsofeducation in the sales force high school degree, associate's degree, and bachelor's degree. The following dummy variables have been defined ED1 1 for a Bachelors degree. E01"0 otherwise; ED2-1 for an Associate's degree, ED2.0 otherwise. The given Excel output shows the partially completed regression output from a random sample ofemployees from the previous month. What is the 95% prediction interval for the number of cars sold per month by aspecific employee with seven years of experience, a salary of sa00per week, and a bachelor's degree? Click the icon to view the Exoel output. O A. 08.58, 14.16 O B. (5.50, 1724 O c. 7.30, 15.45) O D. (0.51.1324) Click to select your answer

Explanation / Answer

From excel output,

For individual responses Y,

Prediction interval: (7.30, 15.45)

Hence,

Option C is correct.

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