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The following regression equation states that quantity demanded of a good [(1.1]. measured in number of units. is a function of its own price {Pr}. the price of a related good {Pf}. advertising expenditures {A}, average household income 1M] and time of year. Time of year is measured quarterly using dummy variables. The first quarter {January through March} is the base case. Second quarter {April through June] is identified with dummy [1; = 1. the third quarter {July through September} is identified with dummy (1; = 1, while the fourth quarter {October through December] is identied with dummy Co = 1. E(Qd} = 13:] + 1313: + 32% + 133-4 + .34\" +ss+3eos+sr04 Prices are measured in dollars, while advertising and income are measured in thousands of dollars. The results of the estimated regression and its residuals can be found on page E- of this exam. a) Write the estimated regression equation. b) Interpret the estimated coefcients on its own price (Pal, the price of a related good (P3,) and on Q4. c) Interpret the interval estimates of the coefcients on income {M}, and on Q3.