Ford would like to develop a regression model that would predict the number of c

Question

Ford 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 number of years of sales experience (Exp), the employee's weekly base salary before commissions (Salary), and the education level of the employee. There are three levels of education in the sales force-high school degree, associate's degree, and bachelor's degree. The following dummy variables have been defined. The following Excel output shows the partially completed regression output from a random sample of employee, from the previous month. An employee with a bachelor's degree will average more car sales per month than an employee with a high school degree. 2.9845 1.3553 2.5638 0.4207

Explanation / Answer

The correct option is: A

An employee with a bachelors degree will average 2.9845 more cars sales per month than an employee with high school degree.

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