he accompanying data represent the weights of various domestic cars and their gas mileages in the city. The linear correlation coefficient between the weight of a car and its miles per gallon in the city is r=−0.972. The​ least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable is y=−0.0070x+44.4405. Complete parts ​(a) and ​(b) below. LOADING... Click the icon to view the data table. ​(a) What proportion of the variability in miles per gallon is explained by the relation between weight of the car and miles per​ gallon?   The proportion of the variability in miles per gallon explained by the relation between weight of the car and miles per gallon is nothing​%. ​(Round to one decimal place as​ needed.) ​(b) Interpret the coefficient of determination.   nothing​% of the variance in ▼   weight gas mileage is ▼   not explained explained by the linear model. ​(Round to one decimal place as​ needed.)

College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
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The accompanying data represent the weights of various domestic cars and their gas mileages in the city. The linear correlation coefficient between the weight of a car and its miles per gallon in the city is
r=−0.972.
The​ least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable is
y=−0.0070x+44.4405.
Complete parts ​(a) and ​(b) below.
LOADING...
Click the icon to view the data table.
​(a) What proportion of the variability in miles per gallon is explained by the relation between weight of the car and miles per​ gallon?
 
The proportion of the variability in miles per gallon explained by the relation between weight of the car and miles per gallon is
nothing​%.
​(Round to one decimal place as​ needed.)
​(b) Interpret the coefficient of determination.
 
nothing​%
of the variance in
 
weight
gas mileage
is
 
not explained
explained
by the linear model.
​(Round to one decimal place as​ needed.)
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The linear correlation coefficient between the weight of a car and its miles per gallon in the city is

r=−0.972.
 
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