The weight of a car (in pounds) can influence the mileage (in mpg) that the car can obtain. A random sample of 18 cars was taken and the weight and mileage were recorded for each. The data are in the table below.

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
Question

The weight of a car (in pounds) can influence the mileage (in mpg) that the car can obtain. A random sample of 18 cars was taken and the weight and mileage were recorded for each. The data are in the table below.

X, weight (in pounds) Y, mileage (in mpg)
3500 28
2250 41.1
4500 17
3500 28
3500 32.6
3000 31.4
5500 13.2
4000 23.4
4500 19.5
3500 31.3
4000 23.6
2250 53.3
2250 38.9
3000 31.4
2500 40.9
3000 31.5
3000 32.2
2750 36.3
c) Find the equation of the best-fitting line (the least squares regression equation).
Round values to 3 decimal places.
Include the restricted domain.
equation: ? =
restricted domain:
+
pounds <= x <=
* X
d) Interpret the slope from part c in the context of this problem. (Pay attention to the units)
• Every time we increase Select an answer
expect Select an answer
average.
. When Select an answer is
Select an answer
pounds
to be
by
to Select an answer by
e) Interpret the Y-intercept from part c in the context of this problem. Include units.
Does it make sense to interpret the Y-intercept on this problem?
Why or why not? Select an answer
we expect
we can
f) Should you use the regression equation to predict the mileage of a randomly selected car that has a
weight of 4488 pounds?
Select an answer
on
Transcribed Image Text:c) Find the equation of the best-fitting line (the least squares regression equation). Round values to 3 decimal places. Include the restricted domain. equation: ? = restricted domain: + pounds <= x <= * X d) Interpret the slope from part c in the context of this problem. (Pay attention to the units) • Every time we increase Select an answer expect Select an answer average. . When Select an answer is Select an answer pounds to be by to Select an answer by e) Interpret the Y-intercept from part c in the context of this problem. Include units. Does it make sense to interpret the Y-intercept on this problem? Why or why not? Select an answer we expect we can f) Should you use the regression equation to predict the mileage of a randomly selected car that has a weight of 4488 pounds? Select an answer on
f) Should you use the regression equation to predict the mileage of a randomly selected car that has a
weight of 4488 pounds?
Select an answer
Should you use the regression equation to predict the mileage of a randomly selected car that has a
weight of 7948 pounds?
Select an answer
Looking at your answers above, predict the mileage for the one above that it made sense to do so.
Make sure you use the stored equation and not the rounded equation from part c.
Round final answer to 3 decimal places.
• The predicted mileage for a randomly selected car that has a weight of
g) Compute the residual for the following ordered pair in the data: (4000, 23.4).
Make sure you use the stored equation and not the rounded equation from part c.
Round final answer to 3 decimal places.
The residual for the car with a weight of 4000 pounds is
Interpret what this value means in the context of this problem.
pounds is
• The actual mileage of a randomly selected car with a weight of 4000 pounds is
Select an answer what was predicted.
Transcribed Image Text:f) Should you use the regression equation to predict the mileage of a randomly selected car that has a weight of 4488 pounds? Select an answer Should you use the regression equation to predict the mileage of a randomly selected car that has a weight of 7948 pounds? Select an answer Looking at your answers above, predict the mileage for the one above that it made sense to do so. Make sure you use the stored equation and not the rounded equation from part c. Round final answer to 3 decimal places. • The predicted mileage for a randomly selected car that has a weight of g) Compute the residual for the following ordered pair in the data: (4000, 23.4). Make sure you use the stored equation and not the rounded equation from part c. Round final answer to 3 decimal places. The residual for the car with a weight of 4000 pounds is Interpret what this value means in the context of this problem. pounds is • The actual mileage of a randomly selected car with a weight of 4000 pounds is Select an answer what was predicted.
Expert Solution
steps

Step by step

Solved in 3 steps

Blurred answer
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