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the weights lb and highway fuel consumption amounts mi gal of the 48 cars listed in the accompanying data set one gets this regression equation

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the weights lb and highway fuel consumption amounts mi gal of the 48 cars listed in the accompanying data set one gets this regression equation y 58 9 0 00749x where x represents weight Complete parts a through d Click the icon to view the car data Cine slope is 58 9 and the y intercept is U UU 49 D The slope is 0 00749 and the y intercept is 58 9 c What is the predictor variable A The predictor variable is weight which is represented by x B The predictor variable is weight which is represented by y OC The predictor variable is highway fuel consumption which is represented by x OD The predictor variable is highway fuel consumption which is represented by y d Assuming that there is a significant linear correlation between weight and highway fuel consumption what is the best predicted value for a car that weighs 3008 lb The best predicted value of highway fuel consumption of a car that weighs 3008 lb ismi gal Round to one decimal place as needed

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