This capstone project places students in the position of a business manager making pricing decisions. You will apply the concepts learned during the course to maximize profit. Starting from the output of a multivariable regressions, you will estimate demand and cost functions, using that information to support your decision. You are the product manager for wireless headphones and your company has the exclusive license of the product. The company's marketing department models the demand function as Q = a + bP + cM + dPs, where Q is the annual demand for your product measured in thousands of units, P is the price of the headphones, M is the average annual family income measured in thousands of dollars, and Ps is the price of the stereos with the technical specifications needed to have an excellent listening experience. The output given by Excel after running the corresponding OLS regression is the following: DEPENDENT VARIABLE: Q R-SQUARE OBSERVATIONS: 32 0.8270 VARIABLE STANDARD COEFFICIENT ERRROR T-RATIO P-VALUE INTERCEPT 39.1 10.6540 3.67 0.0019 P 0.05 0.0290 -3.45 0.0031 M 0.06 0.01439 4.17 0.0006 PS 0.0225 0.008242 -2.73 0.0144