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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 Weight (pounds), x Miles per Gallon, y A B C D EO 2550 2900 3495 3650 4230 26.6 25.1 25 19.1 15.9 COOL (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. -0.0 (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.)

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 Weight (pounds), x Miles per Gallon, y A B C D EO 2550 2900 3495 3650 4230 26.6 25.1 25 19.1 15.9 COOL (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. -0.0 (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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K 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 Weight (pounds), x Miles per Gallon, y A B C D ED 2550 2900 3495 3650 4230 26.6 25.1 25 19.1 15.9 CETTE (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. ÿ- (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.)
Transcribed Image Text:K 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 Weight (pounds), x Miles per Gallon, y A B C D ED 2550 2900 3495 3650 4230 26.6 25.1 25 19.1 15.9 CETTE (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. ÿ- (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.)
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