d. 0822 None of the above e. are looking at sales of food preparation products i
ID: 3314019 • Letter: D
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d. 0822 None of the above e. are looking at sales of food preparation products in a values for mediuim-size city in the Midwest. They have noticed that sales in this city have not been meeting forecast ys several months and want to look at the problem in more detail. They have collected data on montuities coupons, eta.,) offered during the month, and the warranty period of the item. SUMMARY OUTPUT (sales, expendture (S, number of competing products available, number of discount he regression output is found below. R Square Adjusted R Square Standard Error 0.896535886 0.803776594 0.762466403 304 7741441 Residual Total 7229269.034 1807317 19.4571 0.0000016 1764858.299 92887.28 8994127.333 19 3801 861925 2.265882196 510.1739577 114.0748171 270.089254 4.799902 0.000124 2144.038381 5459.685469 1.453189474 1559248 0135439 0.775679274 3.30744366 162.65035 Advertising (5) 162.6503366 3.13663 0005432 850.6051724 -169.742743 169.6886408 0.67226 0 509512 -241.0877002 469.2373344 4298 2.601704 0.017521 52.0727379 487.3712342 Discounts 27. What is the response variable in this problem? a. Sales b. Advertising c. Number of Competitors d. Discounts e. Warranty t None of the above 28. As advertising expenditures increase, what do you think the effect on sales will be? a. Sales will increase b. Sales will decrease c. No effect on sales Using the 4-variable linear equation, for each year the warranty is increased, the company's sales is expected to: a Increase by $3,801 b. Decrease by $3,801 c. Increase by $270.1 d. Decrease by $270.1 33. Using the 4-variable linear equation, the estimated sales for the following conditions: advertising expenditure of $400, zero competitor, 3 discounts, and 1 year of warranty-will be (use the closest value): a $5,193 b. $5,320 c. $3,461 . Using a significance level of 0.01, is the 4-variable linear model significant? a. Yes b. No Data from Consumer Reports New Car to develop a multiple linear regression model to study fuel Buying Guide 2003-2004 of 43 vehicles (partial data shown below) was use economy. City EPA miles per in gallen sity drivingExplanation / Answer
Q 27. Sales is response variable
Q 28 Sales will increase
Q 38 Increases by $270.1
Q 39 Sales =3801.86+2.2659*400+114.0748*3+270.0893 =5320(approximately)
Q 40: No
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