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 Imagine that you work for the maker of a leading brand of low-calorie, frozen microwavable food that estimates the following demand equation for its product using data from 26 supermarkets around the country for the month of April.      The following is a regression equation. Standard errors are in parentheses for the demand for widgets. QD       =          – 5200 – 42P + 20PX + 5.2I + 0.20A + 0.25M (2.002)  (17.5) (6.2)    (2.5)   (0.09)   (0.21) R2 = 0.55           n = 26               F = 4.88 Your supervisor has asked you to compute the elasticities for each independent variable. Assume the following values for the independent variables:    The following is a regression equation. Standard errors are in parentheses for the demand for widgets. QD       =          -2,000 – 100P + 15A + 25PX + 10I (5,234)  (2.29)   (525)   (1.75)  (1.5) R2 = 0.85           n = 120             F = 35.25 Your supervisor has asked you to compute the elasticities for each independent variable. Assume the following values for the independent variables: Q          =          Quantity demanded of 3-pack units P (in cents)       =          Price of the product = 200 cents per 3-pack unit PX (in cents)     =          Price of leading competitor’s product = 300 cents per 3-pack unit I (in dollars)       =          Per capita income of the standard metropolitan statistical area (SMSA) in which the supermarkets are located = $5,000 A (in dollars)     =          Monthly advertising expenditures = $640            Your assignment must follow these formatting requirements:  The specific course learning outcomes associated with this assignment are:     

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