Let x and y be the Test Score and Number of Units Sold of a sales trainee respectively. The management of the rm 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 0362784254 R Square 0326953519 Adjusted R Square 0317822709 Standard Error 1036052714 Observations 10 AN OVA 1:! f 55 MS F Sign nance F Regression 1 121958476 12195.33 101.5193 8.023365% Residual 8 $1.0652422 120.1332 Total 9 13156.9 Coefficients Standard Error lnterce pt 4.615099715 1448583526 score (it) 4168091158 4136784389 The following table can be used for part (d): a degree of freedom [de tan tr: 0.1 8 1.86 1.397 0.05 8 2.306 1.86 0.01 3 3.355 2.8% 'tu 4.397 4.86 -2.896 3. Determine and interpret the Coefcient of Determination, i_e., Rsquare. (2 Marks) b. Determine the coefcients of a straight line. Interpret the slope. (2 Marks) Determine the regression equation. (1 Mark) pp from zero at 5% signicance level. (5 Marks) Perform the hypothesis test to determine if the slope is signicantly differently