You have been presented with the following data and asked to fit statistical demand functions: PERIOD QUANTITY PRICE INCOME ADVERTISING 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 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 a. Linear Relationship i. Use any multiple regression packages to estimate a linear relationship between the dependent variable and the independent variables. i. Is the estimated demand function "good"? Why or why not? i. Discuss the economic implications of the various coefficients. (12) b. Non-linear relationship. i. Select and estimate any form of non-linear relationship. ii. Is the estimated demand function "good"? Why or why not? Compare with the linear form above. Elaborate.
You have been presented with the following data and asked to fit statistical demand functions: PERIOD QUANTITY PRICE INCOME ADVERTISING 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 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 a. Linear Relationship i. Use any multiple regression packages to estimate a linear relationship between the dependent variable and the independent variables. i. Is the estimated demand function "good"? Why or why not? i. Discuss the economic implications of the various coefficients. (12) b. Non-linear relationship. i. Select and estimate any form of non-linear relationship. ii. Is the estimated demand function "good"? Why or why not? Compare with the linear form above. Elaborate.
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
Related questions
Question
![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.
90
10.00
19
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
a. Linear Relationship
i. Use any multiple regression packages to estimate a linear
relationship between the dependent variable and the
independent variables.
ii. Is the estimated demand function "good"? Why or why not?
i. Discuss the economic implications of the various coefficients.
(12)
b. Non-linear relationship.
i. Select and estimate any form of non-linear relationship.
ii. Is the estimated demand function "good"? Why or why not?
Compare with the linear form above. Elaborate.
(8)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff8b0373f-7b61-4a44-93d7-145b8acffe5e%2F38dabcec-2d09-4a6d-92eb-720cd1b71303%2Fvdt8cah_processed.jpeg&w=3840&q=75)
Transcribed Image Text: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.
90
10.00
19
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
a. Linear Relationship
i. Use any multiple regression packages to estimate a linear
relationship between the dependent variable and the
independent variables.
ii. Is the estimated demand function "good"? Why or why not?
i. Discuss the economic implications of the various coefficients.
(12)
b. Non-linear relationship.
i. Select and estimate any form of non-linear relationship.
ii. Is the estimated demand function "good"? Why or why not?
Compare with the linear form above. Elaborate.
(8)
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