Aquant jock from your firm used a linear demand specification to estimate the demand for its product and sent you a hard copy of the results. Unfortunately, some entries are missing because the toner was low in her printer. Use the information presented below to find the missing values labeled ‘1’ through ‘7’ (round your answer to the nearest hundredth). Then, answer the accompanying questions.

a. Based on these estimates, write an equation that summarizes the demand for the firm’s product.

b. Which regression coefficients are statistically significant at the 5 percent level?

c. Comment on how well the regression line fits thedata.

SUMMARY OUTPUT Reqression Statistics Multiple R RSquare Adjusted RSquare 0.38 2 20.77 150 Error Analysis of Variance Degrees of FreedomSum of Squares Mean Squ uare F Significance F 5199 43 2.05 Regression Residual Total 0.00 147 431.35 63, 408.62 73,807 49 Coefficients | Standard Error | Intercept Price of X Income t-Sho tistic 3.84 6 4.64 | P.Value | Lower 95% | UPPer 95% 28.59 -3.31 0.63 58.87 0.00 0.06 0.00 89.15 0.04 1.56 0.85 7 0.24