X SECTION 14.1 Testing (b) Assuming the residuals are normally distributed, test whether a linear relation exists between compensation and stock return at the a = 0.95 level of significance. (c) Assuming the residuals are normally distributed, construct a 95% confidence interval for the slope of the true least- squares regression line. A(d) Based on your results to parts (b) and (c), would you recommend using the least-squares regression line to predict the stock return of a company based on the CEO's compensation? Why? What would be a good estimate of the stock return based on the data in the table