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8. Observations are taken on net revenue from sales of a certain plasma TV at 30 retail outlets. A linear regression model was formed using the following variables: Y = net revenue (thousands of dollars); X1 = shipping cost (dollars per unit); X2 = expenditures on print advertising (thousands of dollars); and X3 = expenditures on electronic media ads (thousands of dollars). Partial regression output appears below. variables coefficient std. error -value p-value Intercept 4.31 70.82 0.06 0.95 ShipCost -0.08 4.67 -0.02 0.98 PrintAds 2.62 1.05 2.50 0.01 WebAds 2.94 2.96 0.004 (2) (a) For each additional thousand dollars spent on printed advertising, what is the precise impact (in dollars) on net revenue? (2) (b) Calculate the standard error of the regression coefficient on WebAds. (4) (c) Calculate a 95% confidence interval for the coefficient on PrintAds. Specifically: (i) Be sure to calculate the lower- and upper- limits in terms of B2. (2) (ii) If 200 confidence intervals were similarly constructed, how many of these can be expected to contain the true slope coefficient? (Your answer must be a frequency). (d) Use the p-value approach to do an upper-tailed hypothesis test on the PrintAds coefficient. Use (2) a = .05 to make the comparison. Specifically: (i) State Ho and HI in terms of Bz. (4) (ii) Do you reject Ho? What is the mathematical reason? (A straightforward comparison and a statement based on the comparison will suffice.) be here to search O N