This is a table showing the results of a regression of Quantity Sold (daily) on Price (our own, in dollars), Comp.Price (competitor price, in dollars), Population (in people) and AvgIncome (average household income, in thousands of dollars).
R-squared = 0.490
Adj R-squared = 0.482
Observations = 181

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QuantitySold | Coef. Std. Err. T stat P-value

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Intercept | 9.309 1.36 6.84 0.0000
Price | -599.6 170.1 -3.52 0.0005
Comp. Price | 155.3 4.76 32.6 0.0000
Population | .0956 .077 1.24 0.2166
AvgIncome | -.6570 .350 -1.88 0.0618

a. What is the estimated equation for our demand curve?
b. Are the slope coefficients for any of these variables statistically significant? (Briefly explain which and why)
c. What is the predicted effect on Quantity Sold if we lower our price by $1? What if we lowered it by 10 cents?
d. What percentage of variation in Quantity Sold is explained by this regressio