Determine the least-squares multiple regression equation

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Reference no: EM13995413

The makers of a pie crust mix have baked test pies and collected the following data on 5 amount of crispness (a rating of 1 to 100), x1 5 minutes in the oven, and x2 5 oven temperature (degrees Fahrenheit).

during the following week. The results are shown in the

y

x1

x2

table below.

68

6.0

460

New                         Ad Column-                  Discount

76

8.9

430

Club

Visitors, y

Inches, x1

Amount, x2

49

8.8

360

1

23

4

$100

99

7.8

460

2

30

7

20

90

7.3

390

3

20

3

40

32

5.3

360

4

26

6

25

96

8.8

420

5

20

2

50

77

9.0

350

6

18

5

30

94

8.0

450

7

17

4

25

82

8.2

400

8

31

8

80

97

6.4

450

a. Determine the least-squares multiple regression equation.

b. Interpret the y-intercept and partial regression coefficients.

c. What is the estimated number of new visitors to a club if the size of the ad is 5 column-inches and a $75 discount is  offered?

a. Determine the least-squares multiple regression equation.

b. Interpret the y-intercept and partial regression coefficients.

c. What is the estimated crispness rating for a pie that is baked for 5 minutes at 200 degrees?

Reference no: EM13995413

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