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7. Consider you own a small restaurant business. You collected data on the avera

ID: 1094795 • Letter: 7

Question

7. Consider you own a small restaurant business. You collected data on the average variable  

    costs of your business for the past 12 months. You have adjusted the cost data for  

    inflation by deflating with an appropriate price index. Your output (Q) and the associated

    average variable cost (AVC) data are presented below:                                         

                                                                                                                                       (20 pts)

Obs

Q

AVC

1

22

$208

2

31

202

3

31

206

4

25

214

5

41

174

6

41

203

7

45

172

8

45

158

9

45

173

10

62

170

11

62

152

12

70

175

    a. Use the data to run the appropriate regression to estimate the parameters for the empirical

        cost function:                                                                                                                                                     

           

                        AVC a + bQ + cQ2

            (Paste your computer printout here)

    b. Using a 10 percent significance level, discuss suitability of the parameter estimates obtained

        in part a. Consider both the algebraic signs and statistical significance of the parameter

        estimates.

   c. Present the estimated average variable cost, total variable cost, and short-run marginal cost  

         functions.

   d. At what level of output does AVC reach its minimum value? What is the minimum value

          of AVC at its minimum?

Obs

Q

AVC

1

22

$208

2

31

202

3

31

206

4

25

214

5

41

174

6

41

203

7

45

172

8

45

158

9

45

173

10

62

170

11

62

152

12

70

175

Explanation / Answer

Obs (X)

Q (Y)

X2

XY

Y2

1

22

1

22

484

2

31

4

62

961

3

31

9

93

961

4

25

16

100

625

5

41

25

205

1681

6

41

36

246

1681

7

45

49

315

2025

8

45

64

360

2025

9

45

81

405

2025

10

62

100

620

3844

11

62

121

682

3844

12

70

144

840

4900

Total = 78

520

650

Total = 3950

The linear regression equation is given by

Yc = bo + b1 x

b1 = 12X3950

Obs (X)

Q (Y)

X2

XY

Y2

1

22

1

22

484

2

31

4

62

961

3

31

9

93

961

4

25

16

100

625

5

41

25

205

1681

6

41

36

246

1681

7

45

49

315

2025

8

45

64

360

2025

9

45

81

405

2025

10

62

100

620

3844

11

62

121

682

3844

12

70

144

840

4900

Total = 78

520

650

Total = 3950

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