An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. Complete parts (a) through (d) below. Click here to view the weight and gas mileage data. (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. (Round the x coefficient to five decimal places as needed. Round the cons Car Weight and MPG Weight (pounds), x Miles per Gallon, y 3707 18 3791 17 2725 25 3617 19 3328 21 2976 24 3709 17 2621 24 3454 20 3854 18 -

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An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in
the city for the most recent model year. Complete parts (a) through (d) below.
Click here to view the weight and gas mileage data.
(a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable.
(Round the x coefficient to five decimal places as needed. Round the cons
Car Weight and MPG
Weight
(pounds), x
Miles per
Gallon, y
3707
18
3791
17
2725
25
3617
19
3328
21
2976
24
3709
17
2621
24
3454
20
3854
18
-
Transcribed Image Text:An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. Complete parts (a) through (d) below. Click here to view the weight and gas mileage data. (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. (Round the x coefficient to five decimal places as needed. Round the cons Car Weight and MPG Weight (pounds), x Miles per Gallon, y 3707 18 3791 17 2725 25 3617 19 3328 21 2976 24 3709 17 2621 24 3454 20 3854 18 -
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