Predict the weekly sales of pet food for a store with 8

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Reference no: EM13636631

The marketing manager of a large supermarket chain faced the business problem of determining the effect on the sales of pet food of shelf space and whether the product was placed at the front (=1) or back (=0) of the aisle. Data are collected from a random sample of equal-sized stores. The results are shown in the following table (and organized and stored in Petfood):

Store

Shelf Space (Feet)

Location

Weekly Sales (Dolllars)

1

5

0

160

2

5

0

220

3

5

0

140

4

10

0

190

5

10

0

240

6

10

1

260

7

15

0

230

8

15

0

270                             

9

15

1

280

10

20

0

260

11

20

0

290

12

20

1

310

Store Shelf Space (Feet) Location Weekly Sales (Dolllars) 1 5 0 160 2 5 0 220 3 5 0 140 4 10 0 190 5 10 0 240 6 10 1 260 7 15 0 230 8 15 0 270 9 15 1 280 10 20 0 260 11 20 0 290 12 20 1 310 For (a) through (m), do not include an interaction term.

A. State the multiple regression equation that predicts sales based on shelf space and location. a. Y=a + b1X1 + b2X2 + b3X3

B. Interpret the regression coefficients in (a).

C. Predict the weekly sales of pet food for a store with 8 feet of shelf space situated at the back of the aisle. Construct a 95% confidence interval estimate and a 95% prediction interval.

D. Perform a residual analysis on the results and determine whether the regression assumptions are valid.

Reference no: EM13636631

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