b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? Negative relationship c. Develop the estimated regression equation that could be used to predict the price ($1000s) (to 4 decimals). ŷ16.4 -0.05 d. Test for a significant relationship at the 0.05 level of significance (to 3 decimals). P-value= less than + a = 0.05. e. Did the estimated regression equation provide a good fit? Yes f. Provide an interpretation for the slope of the estimated regression equation (to 4 decimals but dollar value to the nearest cent). Enter negative values as negative numbers. The slope of the estimated regression is . Therefore, every additional 1,000 miles on the car's odometr will result in a $ in the predicted price. decrease g. Suppose that you are considering purchasing a previously owned 2007 Camry that has been driven 60,000 miles. Using the estimated regression equation developed in part (c), predict the price for this car (round to nearest dollar). $ 1294 Is this the price you would offer the seller? No

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
100%
The Toyota Camry is one of the best-selling cars in North America. The cost of a previously owned Camry depends upon many factors, including the model year, mileage, and condition. To
investigate the relationship between the car's mileage and the sales price for a 2007 model year Camry, the following data show the mileage and sale price for 19 sales (PriceHub website). Click
on the datafile logo to reference the data.
DATA file
1.
18
Price ($1000s)
16
14
12
10
18
6
If your answer is zero, enter "0".
a. Select a scatter diagram with the car mileage on the horizontal axis and the price on the vertical axis.
20
40
6,0
8,0
100
Miles (1000s)
120
223 +♡ ♡
Miles(1000s)
29
36
47
63
77
73
87
92
101
110
28
59
68
68
91
42
65
110
Price ($1000s)
16.2
16.0
13.8
11.5
12.5
12.9
11.2
13.0
11.8
10.8
8.3
12.5
11.1
15.0
12.2
13.0
15.6
12.7
8.3
Transcribed Image Text:The Toyota Camry is one of the best-selling cars in North America. The cost of a previously owned Camry depends upon many factors, including the model year, mileage, and condition. To investigate the relationship between the car's mileage and the sales price for a 2007 model year Camry, the following data show the mileage and sale price for 19 sales (PriceHub website). Click on the datafile logo to reference the data. DATA file 1. 18 Price ($1000s) 16 14 12 10 18 6 If your answer is zero, enter "0". a. Select a scatter diagram with the car mileage on the horizontal axis and the price on the vertical axis. 20 40 6,0 8,0 100 Miles (1000s) 120 223 +♡ ♡ Miles(1000s) 29 36 47 63 77 73 87 92 101 110 28 59 68 68 91 42 65 110 Price ($1000s) 16.2 16.0 13.8 11.5 12.5 12.9 11.2 13.0 11.8 10.8 8.3 12.5 11.1 15.0 12.2 13.0 15.6 12.7 8.3
b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?
Negative relationship
c. Develop the estimated regression equation that could be used to predict the price ($1000s) (to 4 decimals).
ŷ
= 16.4 ✔ - 0.05 x
d. Test for a significant relationship at the 0.05 level of significance (to 3 decimals).
p-value =
* less than
a = 0.05.
e. Did the estimated regression equation provide a good fit?
Yes
✔
✔
f. Provide an interpretation for the slope of the estimated regression equation (to 4 decimals but dollar value to the nearest cent). Enter negative values as negative numbers.
The slope of the estimated regression is >. Therefore, every additional 1,000 miles on the car's odometr will result in a $
* decrease
in the predicted price.
g. Suppose that you are considering purchasing a previously owned 2007 Camry that has been driven 60,000 miles. Using the estimated regression equation developed in part (c), predict the
price for this car (round to nearest dollar).
$1294
Is this the price you would offer the seller?
No
✔
Transcribed Image Text:b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? Negative relationship c. Develop the estimated regression equation that could be used to predict the price ($1000s) (to 4 decimals). ŷ = 16.4 ✔ - 0.05 x d. Test for a significant relationship at the 0.05 level of significance (to 3 decimals). p-value = * less than a = 0.05. e. Did the estimated regression equation provide a good fit? Yes ✔ ✔ f. Provide an interpretation for the slope of the estimated regression equation (to 4 decimals but dollar value to the nearest cent). Enter negative values as negative numbers. The slope of the estimated regression is >. Therefore, every additional 1,000 miles on the car's odometr will result in a $ * decrease in the predicted price. g. Suppose that you are considering purchasing a previously owned 2007 Camry that has been driven 60,000 miles. Using the estimated regression equation developed in part (c), predict the price for this car (round to nearest dollar). $1294 Is this the price you would offer the seller? No ✔
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 1 images

Blurred answer
Similar 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