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1. Detailer Revenue Maximization Using data from their survey, the Detailer team has estimated that the demand for the Detailer can be expressed by the

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1. Detailer Revenue Maximization Using data from their survey, the Detailer team has estimated that the demand for the Detailer can be expressed by the following linear equation: Quantity sold = 66,773 - 3413.6 Price a) The team wants to know what price they should charge to give them the highest possible level of revenue. Find this price using Solver. C D E 1 parameters choice variable intercept of demand 66773 price slope of demand -3413.6 4 objective function 5 Intermediate variable Revenue E2*86 6 Quantity sold =82+83*E2 7 10 11 12 13 14 15 16 17 18 19 20 The optimal price is $9.78. b) A member of the team thinks that demand is better approximated using a regression incorporating price squared. They estimate the following equation on their data

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