d. Conduct a t-test for the statistical significance of each variable. Which ones are significant at 5% level of significance

Q1. A manufacturer of computer workstations gathered average monthly sales figures from its 56 branch offices and dealerships across the country and estimated the following demand for its product: Q = 15,000 2.8 P + 150 A + 0.3 Ppc + 0.35 Pm + 0.2 Pc (4234) (1.29) (175) (0.12) (0.17) (0.13) R^2 = 0.68 F= 21.25 The variables and their estimated values are: Q = Quantity P = Price of the basket = $7000 A = Advertising expenditures = $52000 Ppc = Average price of personal computer = $4000 Pm = Average price of minicomputer = $15,000 Pc = Average price of a leading competitors workstation = $8,000 ( ) the number in brackets is the standard error of estimation SEE The t-test is = coefficient of variable/SEE