Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable.

MTH-110 Statistics Online Fall 2021 Prof. Richard Freda CRN 9126 elizabeth beltran & | 10/07/21 6:41 PM Question 8, 4.2.24 HW Score: 58%, 5.8 of 10 points Homework: Module 4 Questions Save Part 1 of 4 Points: 0 of 1 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. y = x + 0) (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.) X Car Weight and MPG Weight Miles per (pounds), x Gallon, y 3642 18 3947 17 2758 3523 18 $395 20 3040 24 3729 17 2514 25 3517 20 3789 18 Print Done Help Me Solve This View an Example Get More Help - Clear All Check