A marketing research group conducted an empirical analysis of demand for Martin's "Happy Feet" during 2008 in thirty-six regional markets and found the following (standard errors in parentheses):
Q |
= -518 - 10P + 12.5I + 5W - 0.5CA + 5A |
|
(240) (1.3) (8.6) (2.8) (0.4) (2.5) |
||
R2 |
= 85% |
Standard error of the estimate = 200
cov(I,W) |
= 3.5, cov(I,CA) = 8.6, cov(I,A) = 2.8 |
where Q = quantity sold (in pairs of shoes), P = price (in dollars), I = disposable income in relevant market (in millions of dollars), W = weather measured by average temperature (in degrees), CA = competitor advertising (in thousands of dollars), A = Martin's "own" advertising (in thousands of dollars).
A. Will a recession hurt sales?
B. |
Is demand more dependent on local income than on weather condition? |
A) recession means Low confidence in an economy usually reduces inflation expectation. Fallingasset prices. In a recession, the price of houses and other assets tends to falldue to lower demand. This leads to lower wealth and therefore, less spending.
Since here the model is
Q |
= -518 - 10P + 12.5I + 5W - 0.5CA + 5A |
By the model we can say if the price of shoes increase 1 $ then quantity sales would be decreases 10 units .
Since the declining in the prices of shoes ,quantity sold should be effected.
B)-
Q |
= -518 - 10P + 12.5I + 5W - 0.5CA + 5A |
In accordance with the model if there is increased in 1$ income then quantity sale shoes will increase 12.5 unit.
While
If average weather temperature increased by 1 degree then the quantity sales of shoes increased by 5 pairs.
Since Demand more dependent upon local income.
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