A consumer advocacy group recorded several variables on 140 models of cars. The resulting information was used to produce the following regression output that relates the city gas mileage (in mpg) and the engine displacement (in cubic inches). The regression equation is mpg_city= 33.5 - 0.0664 * displacement We have a car that has an engine with 135 cubic inches. Based on this output, what city gas mileage would you predict for this car? (Round answer to the nearest hundredth (2 decimal places.)
A consumer advocacy group recorded several variables on 140 models of cars. The resulting information was used to produce the following regression output that relates the city gas mileage (in mpg) and the engine displacement (in cubic inches). The regression equation is mpg_city= 33.5 - 0.0664 * displacement We have a car that has an engine with 135 cubic inches. Based on this output, what city gas mileage would you predict for this car? (Round answer to the nearest hundredth (2 decimal places.)
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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A consumer advocacy group recorded several variables on 140 models of cars. The resulting information was used to produce the following regression output that relates the city gas mileage (in mpg) and the engine displacement (in cubic inches).
The regression equation is
mpg_city= 33.5 - 0.0664 * displacement
We have a car that has an engine with 135 cubic inches. Based on this output, what city gas mileage would you predict for this car?
(Round answer to the nearest hundredth (2 decimal places.)
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