We expect a car's highway gas mileage to be related to its city gas mileage (in miles per gallon, mpg). Data for all 12591259 vehicles in the government's 2019 Fuel Economy Guide give the regression line highway mpg=8.720+(0.914×city mpg)highway mpg=8.720+(0.914×city mpg) for predicting highway mileage from city mileage. (b) What is the intercept? Give your answer to three decimal pla
We expect a car's highway gas mileage to be related to its city gas mileage (in miles per gallon, mpg). Data for all 12591259 vehicles in the government's 2019 Fuel Economy Guide give the regression line highway mpg=8.720+(0.914×city mpg)highway mpg=8.720+(0.914×city mpg) for predicting highway mileage from city mileage. (b) What is the intercept? Give your answer to three decimal pla
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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Question
We expect a car's highway gas mileage to be related to its city gas mileage (in miles per gallon, mpg). Data for all 12591259 vehicles in the government's 2019 Fuel Economy Guide give the regression line
highway mpg=8.720+(0.914×city mpg)highway mpg=8.720+(0.914×city mpg)
for predicting highway mileage from city mileage.
(b) What is the intercept? Give your answer to three decimal places.
intercept:
Expert Solution
Step 1
mpg = miles per gallon
Data for 1259 vehicles give regression line.
Regression line :
Highway mpg = 8.720 + (0.914 × city mpg)
* Regression line consist two variables
(dependent and independent)
Y = mX + c
Y = dependent variable ( Highway mpg )
X = independent variable ( city mpg )
m = slope
* Slope represent average increase in Y by increasing one unit in X
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