Question
Advanced Consumer Electronics manufactures high-resolution digital cameras, and its marketing department has estimated the following regression equation for the cameras: Q ACE = 270 -
Advanced Consumer Electronics manufactures high-resolution digital cameras, and its marketing department has estimated the following regression equation for the cameras:
QACE = 270 - 0.8PACE - 3PM + 0.4PC + 0.006I + 0.03A
t-statistic(1.86)(2.13)(1.65)(2.10)(3.25)(1.25)
R2 = 0.925n = 2000F = 125.05
Where
QACE = the quantity of Advanced Consumer Electronics cameras demanded per month,
PACE = the price of an Advanced Consumer Electronics camera,
PM = the price of a memory card,
PC = the price of a competing camera,
I = annual average household income, and
A = monthly advertising expenditures.
a.Evaluate the above regression results?
b.Assume PACE = Rs 100, PM = Rs.20, Pc = Rs. 150, I = Rs 25 (Rs in thousands) and A = 35 (Rs in thousands), calculate the elasticities for each variable?
c.What are the implications of the above-estimated elasticities for management decisions?
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