Let x and y be the Test Score and Number of Units Sold of a sales trainee respectively. The management of the firm would like to determine whether any relationship exists between x and y. The following output is the regression analysis of x and y from 10 sales trainees. It can be used to answer to following questions: SUMMARY OUTPUT Regression Statistics Multiple R 0.963 R Square 0.927 Adjusted R Square 0.918 Standard Error 10.961 Observations 10 ANOVA df 55 MS F Regression 12195.835 12195.835 101.519 Residual LD 00 M 961.065 120.133 Total 13156.900 Coefficients Standard Error Intercept 4.615 14.486 score (x) 41. 681 4.137 The following table can be used for part (d): degree of freedom (df) to/ -to 01 1.86 1.397 1.397 0.05 2.306 1.86 -1.85 0.01 3.355 2.896 -2.896 a. Determine and interpret the Coefficient of Determination, i.e., R-square. (2 Marks) b. Determine the coefficients of a straight line, Interpret the slope. (2 Marks) c. Determine the regression equation. (1 Mark) d. Perform the hypothesis test to determine if the slope is significantly differently from zero at 5% significance level