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. a) State the random variables. rv X = the mean weight rv Y = the mean weight X, weight (in pounds) 3500 2250 4500 3500 3500 3000 5500 4000 4500 3500 4000 2250 2250 3000 2500 3000 3000 2750 of the mean mileage of the mean weight Y, mileage (in mpg) 28 41.1 17 28 32.6 31.4 13.2 23.4 19.5 31.3 23.6 53.3 38.9 31.4 40.9 31.5 32.2 36.3
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. a) State the random variables. rv X = the mean weight rv Y = the mean weight X, weight (in pounds) 3500 2250 4500 3500 3500 3000 5500 4000 4500 3500 4000 2250 2250 3000 2500 3000 3000 2750 of the mean mileage of the mean weight Y, mileage (in mpg) 28 41.1 17 28 32.6 31.4 13.2 23.4 19.5 31.3 23.6 53.3 38.9 31.4 40.9 31.5 32.2 36.3
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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 |

Transcribed Image Text: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.
a) State the random variables.
rv X = the mean weight
rv Y = the mean weight
X, weight (in pounds)
3500
2250
4500
3500
3500
3000
5500
4000
4500
3500
4000
2250
2250
3000
2500
3000
3000
2750
of the mean mileage
of the mean weight
Y, mileage (in mpg)
28
41.1
17
28
32.6
31.4
13.2
23.4
19.5
31.3
23.6
53.3
38.9
31.4
40.9
31.5
32.2
36.3

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?
yes, this X-value is between Xmin and Xmax
Should you use the regression equation to predict the mileage of a randomly selected car that has a
weight of 7948 pounds?
no, this X-value is not between Xmin and Xmax
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.
4488
• The predicted mileage for a randomly selected car that has a weight of
19.658 x mpg
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.
• The actual mileage of a randomly selected car with a weight of 4000 pounds is
Select an answer what was predicted.
o pounds is
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