Z. A store wants to analyse the relationship between sales and several explanatory variables. These include advertising expenditures CAD eg sales adv bonus Source SS MS Number of obs = 25 2, 22) = 64.83 Model J.1067797.35 2 533898.677 Prob > F = 0. 0000 Residual 181176. 387 22 8235. 2903 R-squared D. 8549 Adj R-squared Total J.1248973.74 24 52040.5725 Root MSE = 90.749 Sales Coef. Std. Err. [95% Conf. Interval] 2. 473177 . 2753111 8.98 0.000 1.902217 3. 044138 Bonus 1. 85618 . 7157249 2.59 0 . 017 . 3718573 3. 340503 cons .516.4444 189. 8757 -2.72 0. 013 -910. 2225 -122 . 6664 reg sales adv bonus west midwest Source di MS Number of obs = 25 20) = 89.03 Model 1182559.9 295639 . 975 Prob > F = 0 . 0000 Residual 66413. 8404 20 3320.69202 R-squared = 0. 9468 Adj R-squared 50.9362 Total J. 1248973.74 24 52040.5725 Root MSE 57 . 625 sales Coef. Std. Err. [95% Conf. Interval] 1. 367798 . 2622075 5.22 0. 000 . 8208433 1. 914754 ponys . 9751533 . 4808161 2.03 0 . 056 - . 0278115 1. 978118 west 48.14586 32. 80134 1. 47 0. 158 -20.27653 116.5683 midwest 257. 8916 48. 41295 5.33 0.000 156.9039 358 . 8792 cons 177.2072 170.1159 1. 04 0. 310 -177 . 6483 532. 0627