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 A B DEO Welght (pounds), x Miles per Gallon, y 2545 3070 3375 3805 4250 32.6 24.5 24.6 24 18.2 O E. It is not appropriate to interpret the y-intercept because it does not make sense to talk about a car that weighs 0 pounds. (c) Predict the miles per gallon of car D and compute the residual. Is the miles per gallon of this car above average or below average for cars of this weight? The predicted value is miles per gallon. (Round to two decimal places as needed.) The residual is miles per gallon. (Round to two decimal places as needed.) Is the value above or below average? O Itis below average. It is above average. (d) Draw the least-squares regression line ch the scatter diagram of the data and label the residual. Which of the following represents the data with the residual shown in red? OA. OB. OD. 4400 4400 174 2400 2400- 17 Weight 174 2400 Weight 4400 2400 34 4400 17 34 MPG MPG

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 A B DEO Welght (pounds), x Miles per Gallon, y 2545 3070 3375 3805 4250 32.6 24.5 24.6 24 18.2 O E. It is not appropriate to interpret the y-intercept because it does not make sense to talk about a car that weighs 0 pounds. (c) Predict the miles per gallon of car D and compute the residual. Is the miles per gallon of this car above average or below average for cars of this weight? The predicted value is miles per gallon. (Round to two decimal places as needed.) The residual is miles per gallon. (Round to two decimal places as needed.) Is the value above or below average? O Itis below average. It is above average. (d) Draw the least-squares regression line ch the scatter diagram of the data and label the residual. Which of the following represents the data with the residual shown in red? OA. OB. OD. 4400 4400 174 2400 2400- 17 Weight 174 2400 Weight 4400 2400 34 4400 17 34 MPG MPG

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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