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Conduct a t-test for the statistical significance

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One of the leading washer and dryer manufacturers has estimated the following demand equation based on the data from its 47 branch offices and dealerships across the country:

Q=12,000 - 20P +120A + 15Pc -100Ac+80I -20Pd

(6400) (9) (80) (7) (64) (52) (9)

R2 = 0.72 F = 20.15

The variables and their assumed values are

Q = Quantity
P = Price of basic model = 500
A =Advertising expenditures = 50
=Average price of the competitor's product = 600
= competitor's advertising expenditures = 30
I = per capita income = 75
price of the dryer = 600

Do you think the firm should cut its price to increase market share? Explain.

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.

What proportion of the variation in sales is explained by the independent variables in the equation? How confident are you about this answer? Explain

Reference no: EM132661410

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