One of the leading tv producers has estimated the following


One of the leading TV producers has estimated the following demand equation after analyzing 32 regional markets:

Q = + 25,000 – 50P + 25A + 20 c P - 40 C A + 120 I

(12000) (22.2) (12) (8.5) (52) (55)

R2 = 0.82 F = 32.26

The variables and their assumed values are

Q = Quantity

P = Price of basic model = 600 (dollars)

A =Advertising expenditures = 100 (thousand dollars)

c P =Average price of the competitor’s product = 700 (dollars)

C A = competitor’s advertising expenditures = 80 (thousand dollars)

I = per capita income = 50 (thousand dollars)

a. Compute the elasticities for each variable. On this basis, discuss the relative impact that each variable has on the demand. What implications do these results have for the firm’s marketing, pricing, and production policies?

b. What would be the effect of a 6 unit increase in the competitor’s advertising expenditures?

c. What would be the change in your advertising expenditures to offset your competitor’s strategy?

d. Conduct a t-test for the statistical significance of each variable. Discuss the results of the t-tests in light of the policy implications mentioned.

e. What proportion of the variation in sales is explained by the independent variables in the equation? How confident are you about this answer? Explain using the F-test.

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Financial Accounting: One of the leading tv producers has estimated the following
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This is n econometric assignments related to multiple regression. All the elasticity for each variables is calculated. The implications are also mentioned. The overall significance of the model is determined by conducting F test. the implications of t- test for each variables is shown and explained. R^2 value is also explained.

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