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Suppose demand for a product is determined by its price, consumers' income, and the price of a related good. Use Q for demand, P for price, M for income, and PR for price of related good. The demand function is estimated using regression analysis. The results are reported below:
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.814752135
R Square
0.663821042
Adjusted R Square
0.159552605
Standard Error
530.2842631
Observations
66
Coefficients
t Stat
P-value
Intercept
125.56
15.87
P
-5.39
2.19
???
M
0.069
0.046
PR
-10.98
2.73
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