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{"ops":[{"insert":"  24 months calculation\nFrom this equation the expected sales for the next 12 months can be estimated. \nQ = 6 200 \u2013 40P + 25PC + 6.2Y + 0.3A + 0.20S \n(2.002) (17.5) (6.2) (2.5) (0.09) (0.21) \u2013 standard deviation (SEC) \n\nR2 = 0.55 n = 55 F = 4.88 \n\n\u2022 Q = Quantity sold per month (sales) \n\u2022 P  = Price  = R2 900 \n\u2022 PC  = Price of leading competitor\u2019s product = R3 200 \n\u2022 Y = Average per capita income in the country = R25 000 \n\u2022 A  = Homebase\u2019s monthly advertising expenditure = R20 000 \n\u2022 S  = Number of robot vacuum cleaners sold across the country = \n7 000 \n\n \n2.1 Calculate the number of iRobot-H vacuum cleaners that H \n is expected to sell over the next 12 months. \n2.2 Calculate the elasticities for the price of iRobot-H (P), the product of the \nleading competitor (PC), average income (Y) and advertising income (A).\n2.3 What is the meaning of the variables \u201340P, +6.2Y and 0.20S?  \n2.4 What is the meaning of the equation R2= 0.55? \n2.5 Determine the t-values for P, PC and Y, and discuss their significance.\n"}]}

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