We expect a car’s highway gas mileage to be related to its city gas mileage (in mpg). Data for all 12091209 vehicles in the government’s 2016 Fuel Economy Guide give the regression line   highway mpg=7.903+(0.993×city mpg)   for predicting highway mileage from city mileage. (a) What is the slope of this line? (Enter your answer rounded to three decimal places.) slope:     What does the numerical value of the slope tell you? For every 7.903mpg in city gas mileage, highway gas mileage increases about 0.993 mpg. On average, highway mileage increases by 7.903 mpg for each additional mpg in city mileage. Highway gas mileage increases with city gas mileage by 7.903 mpg for each additional mpg in city mileage. On average, highway mileage increases by 0.993mpg for each additional mpg in city mileage. On average, highway mileage decreases by 0.993 mpg for each additional mpg in city mileage. (b) What is the intercept? (Enter your answer rounded to three decimal places.) intercept:   mpg Why is the value of the intercept not statistically meaningful? The value of the intercept represents the predicted highway mileage for slope 0. The value of the intercept represents the predicted highway mileage for city gas mileage of  mpg, and such a car does not exist. The value of the intercept represents the predicted highway mileage for city gas mileage of 0mpg, and such a prediction would be invalid, since 0 is outside the range of the data. The value of the intercept is an average value calculated from a sample. (c) Find the predicted highway mileage, ?̂ , for a car that gets 15 miles per gallon in the city. (Enter your answer rounded to three decimal places.) ?̂ =   mpg Find the predicted highway mileage, ?̂ ,for a car that gets 23 miles per gallon in the city. (Enter your answer rounded to three 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
icon
Related questions
icon
Concept explainers
Question

We expect a car’s highway gas mileage to be related to its city gas mileage (in mpg). Data for all 12091209 vehicles in the government’s 2016 Fuel Economy Guide give the regression line

 

highway mpg=7.903+(0.993×city mpg)

 

for predicting highway mileage from city mileage.

(a) What is the slope of this line? (Enter your answer rounded to three decimal places.)
slope:
 
 
What does the numerical value of the slope tell you?
For every 7.903mpg in city gas mileage, highway gas mileage increases about 0.993 mpg.
On average, highway mileage increases by 7.903 mpg for each additional mpg in city mileage.
Highway gas mileage increases with city gas mileage by 7.903 mpg for each additional mpg in city mileage.
On average, highway mileage increases by 0.993mpg for each additional mpg in city mileage.
On average, highway mileage decreases by 0.993 mpg for each additional mpg in city mileage.
(b) What is the intercept? (Enter your answer rounded to three decimal places.)
intercept:
 
mpg
Why is the value of the intercept not statistically meaningful?
The value of the intercept represents the predicted highway mileage for slope 0.
The value of the intercept represents the predicted highway mileage for city gas mileage of  mpg, and such a car does not exist.
The value of the intercept represents the predicted highway mileage for city gas mileage of 0mpg, and such a prediction would be invalid, since 0 is outside the range of the data.
The value of the intercept is an average value calculated from a sample.
(c) Find the predicted highway mileage, ?̂ , for a car that gets 15 miles per gallon in the city. (Enter your answer rounded to three decimal places.)
?̂ =
 
mpg
Find the predicted highway mileage, ?̂ ,for a car that gets 23 miles per gallon in the city. (Enter your answer rounded to three decimal places.)
?̂ =
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps

Blurred answer
Knowledge Booster
Correlation, Regression, and Association
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman