Question
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
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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