The marketing data set has two variables, namely facebook and sales. The sample size is 200. A multiple regression is performed to study the impact of the amount of advertising money spent on facebook on sales. The results are shown below: SUMMARY OUTPUT Regression Statistics Multiple R 0.576 R Square 0.332 Adjusted R Square 0.329 Standard Error 5.130 Observations 200 ANOVA df SS MS F Regression 1 2590.084 2590.084 98.422 Residual 198 5210.611 26.316 Total 199 7800. 694 Coefficients Standard Error Intercept 11.174 0.675 facebook 0.202 0. 020The following table can be used for part (d): CL degree of freedom (df) ta/2 to -ta 0.1 198 1.653 1.286 -1.286 0.05 198 1.972 1.653 -1.653 0.01 198 2. 601 2.345 -2.345 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