L P Q R S F G H J K N A B C D E Sales Price Promotion Problem 5 - Projecting Sales Based on Price and Promotion predictor, >variable independent variable. coefficient 4141 59 200 explanatory variable This problem is a continuation of Problem 4. Compute an expected sales volume using the intercept and coefficients of the linear 3842 59 200 regression model you developed in d. using the standard multiple linear equation to calculate your response 3056 59 200 a. How many units do you expect to sell with this combination of price and promotion (Price = 89 and Promotion = 500). linear predictor 3519 59 200 b. How many units do you expect to sell if you raise the Promotion = 700 4226 59 400 response. dependent vanable. random emor. 400 c. How many units do you expect to sell if your leave Promotion = 500 and set a lower Price = 69. observation, "-variable" "noise" 4630 59 3507 59 400 3754 59 400 Sales (Y) = Intercept (bo) Coefficient (b,) Price(?) Coefficient (b2) Promotion(?) 5000 59 600 5120 59 600 a. answer 4011 59 600 b. answer 13 5015 59 600 c. answer 1916 79 200 675 79 200 3636 79 200 d. Comment on the three answers. What insight do you draw from the results of this problem? 3224 79 200 2295 79 400 19 2730 79 400 20 2618 79 400 21 4421 79 400 22 4113 79 600 23 3746 79 600 24 3532 79 600 25 3825 79 500 26 1096 99 200 27 761 99 200 28 2088 99 200 29 820 99 200 30 2114 99 400 31 1882 99 400 32 2159 99 400 33 1602 99 400 34 3354 99 600 35 2927 99 600