A multiple regressiоn mоdel is used tо study the relаtionship between the cаr price ($) аnd several other variables. A screenshot of the partial dataset is as follows: To incorporate the size information (3 levels) in the regression model, we create two dummy variables, Size_Small and Size_Family. Size-Small has value 1 if the car is small sedan and 0 otherwise; and Size_Family has value 1 if the car is family sedan and 0 otherwise. Followed is the multiple regression results from Excel. (a) Is the average price between small and upscale sedan significantly different from 0 at the significance level of 0.01? (b) With all other variables' values the same, the average price difference between the small and family sedans is $ . (Keep 2 decimal places and use a negative number if the price of small sedan is less than family sedan.) (c) With all other variables' values the same, the average price difference between the small and upscale sedans is $ . (Keep 2 decimal places and use a negative number if the price of small sedan is less than family sedan.)
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