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 theemployee's number of years of sales experience(Exp), theemployee's weekly base salary before commissions(Salary), and the education level of the employee. There are three levels of education in the sales forcelong dashhigh schooldegree, associate'sdegree, andbachelor's degree. The following dummy variables have beendefined:ED1equals=1 for aBachelor's degree, ED1equals=0 otherwise;ED2equals=1 for anAssociate's degree, ED2equals=0 otherwise. The given Excel output shows the partially completed regression output from a random sample of employees from the previous month. What is the sum of squares regression for this regressionmodel? LOADING...Click the icon to view the Excel output.

A.

410.25

B.

327.84

C.

267.61

D.

60.23

Complete the following statement. The probability of a Type I error is denoted as_______. A. beta B. rho C. alpha D. sigma

Determine whether the statement is true or false. A coefficient of determination equal to zero indicates that there is no relationship between the independent and dependent variables. True False