Please help with the following questions:

a. Write out the estimated regression equation.

b. Is the regression equation significant overall? Explain.

c. How much of the variability in Turnover Rate is explained by the regression equation?

D {b In determining the best companies to work for, a number of variables are considered, including size, average annual JR pay, and turnover rate. Moreover, employee surveys are conducted to assess aspects of the organization's culture, such as trust and openness to change. To determine what affects turnover rate, a sample of 33 companies was randomly selected, and data were collected on the average annual bonus and turnover rate (%) for 2008. In addition, a questionnaire was administered to the employees of each company to arrive at a trust index (measured on a scale of 0-100). Below are the multiple regression results. Dependent Variable is Turnover Rate JR Predictor _Coefg _Coef I B Constant 12.1005 0.7826 15.46 0.000 Trust Index 0.07149 0.01966 -3.64 0.001 Average Bonus -0.0007216 0.0001481 -4.87 0.000 S = 1.49746 R-Sq = 79.6% R-Sq(adj) = 78.3% F-Ratio = 58.8, P