You have been presented with the following data and asked to fit statisti­cal demand functions:   PERIOD QUANTITY PRICE INCOME ADVERTISING 1 120 8.00 10 3 2 165 4.00 22 7 3 120 7.00 20 5 4 165 3.00 20 8 5 180 4.00 30 8 6 90 10.00 19 6 7 150 4.00 18 10.2 8 190 1.60 25 9.3 9 160 5.00 30 8 10 200 2.00 35 9.5 Linear Relationship Use any multiple regression packages to estimate a linear relationship between the dependent variable and the independent variables. Is the estimated demand function “good”? Why or why not? Discuss the economic implications of the various coefficients.

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4A: Problems In Applying The Linear Regression Model
Section: Chapter Questions
Problem 3E
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You have been presented with the following data and asked to fit statisti­cal demand functions:

 

PERIOD

QUANTITY

PRICE

INCOME

ADVERTISING

1

120

8.00

10

3

2

165

4.00

22

7

3

120

7.00

20

5

4

165

3.00

20

8

5

180

4.00

30

8

6

90

10.00

19

6

7

150

4.00

18

10.2

8

190

1.60

25

9.3

9

160

5.00

30

8

10

200

2.00

35

9.5

Linear Relationship

  1. Use any multiple regression packages to estimate a linear relationship between the dependent variable and the independent variables.
  2. Is the estimated demand function “good”? Why or why not?
  3. Discuss the economic implications of the various coefficients.

Non-linear relationship.

  1. Select and estimate any form of non-linear relationship.
  2. Is the estimated demand function “good”? Why or why not? Compare with the linear form above. Elaborate
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