Your company, which specializes in running shoes for men who are growing increasingly follicly-challenged (BalderDash), has the following demand function: Q=a+bP+cM+dR where @is the quantity demanded of BalderDash's most popular shoes, Pis the price of that product, Mis consumer income, and Ris the price of a related product. The regression results are: Adjusted R Square 0.7796 Independent Variables | Coefficients = Standard Error tStat | P-value Intercept 21,055.04 1428.27 1474 | 8.1E-16 P -83.912 19.079 -4.398 | 0.000 M 0.0266 0.013 2.064 0.047 R -16.6 10.664 -1.556 0.129 1. Discuss whether you think these regression results will generate good sales estimates for BalderDash. Now assume that the income is $69,100, the price of the related good is 539, and BalderDash chooses to set the price of its product at 554. b. What is the estimated number of units sold given the data above? (round to nearest unit; no decimals) c. What are the values for the own-price, income, and cross-price elasticities? d. If Pincreases by 6%, what would happen (in percentage terms) to quantity demanded? e. If Mincreases by 2%, what would happen (in percentage terms) to quantity demanded? f. If R decreases by 3%, what would happen (in percentage terms) to quantity demanded