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An engineer wants to determine how the weight of a car, x, affects gas mileage, y. The following data represent the weights of various cars and their miles per gallon. Car 2555 2905 3400 3840 4095 26.1 20.6 18.9 13.7 11.5 Weight (pounds), x Miles per Gallon, y (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable Write the equation for the least-squares regression line y0.009x+ 48.108 (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.)

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65280 2.5 84290 265 666 &S 2 12905 3 3400 4 3840 13. 5 |4045 a 169590.8 5984 3 6126 o 526O8 20.6 560000 6 769026 29 04 89 586- Ee least Squaves regression for on u la rae 48-1 0008920e

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