Use the following information to answer the question(s) below. 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. Degree ED1 High School o Associate's o Bachelor's 1 ED2 0 1 o The following Excel output shows the partially completed regression output from a random sample of employees from the previous month. SUMMARY OUTPUT Regression Statistics Multiple R 0.9035 R Square Adjusted Square Standard Error 1.7353 Observations ANOVA i ne tollowing Excel output snows the partially completea regression output from a random sample of employees from the previous month. SUMMARY OUTPUT Regression Statistics Multiple R 0.9035 R Square Adjusted R Square Standard Error 1.7353 Observations ANOVA df 18 MS F Significance F 4.01128-07 Regression Residual Total 60.23 327.84 24 Stat Lower 95% Upper 95% Intercept Exp Salary ED1 ED2 Coefficients Standard Error 1.6448 1.6352 0.2393 0.1254 0.0127 0.0044 2.9845 1.3553 2.5638 1.0705 P-value 0.3265 0.0709 0.0097 0.0396 0.0265 Which group of independent variables is significant in this model using alpha=0.05? -- Select an Option -- A) Salary, ED1, ED2 B) Exp, ED1, ED2 C) Exp, Salary, ED1 D) Exp, Salary, ED1, ED2 Page 2 of 15