2. Fill in the blank: According to the regression equation, for an increase of one thousand miles in Cadet mileage, there is a corresponding price. Choose one of 0.49 thousand dollars in the used selling 3. From the regression equation, what is the predicted used selling price (in thousands of dollars) when the mileage is 23.8 thousand miles? (Round your answer to at least one decimal place.) 4. From the regression equation, what is the predicted used selling price (in thousands of dollars) when the mileage is 25.3 thousand miles? (Round your answer to at least one decimal place.)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The Cadet is a popular model of sport utility vehicle, known for its
relatively high resale value. The bivariate data given below were taken
from a sample of sixteen Cadets, each bought new two years ago, and
each sold used within the past month. For each Cadet in the sample, we
have listed both the mileage x (in thousands of miles) that the Cadet had
on its odometer at the time it was sold used and the price y (in
thousands of dollars) at which the Cadet was sold used. With the aim of
predicting the used selling price from the number of miles driven, we
might examine the least-squares regression line, y=41.57 – 0.49.x. This line is
shown in the scatter plot in Figure 1.
Used selling price,
Mileage, x
(in thousands)
(in thousands of
dollars)
25.9
26.1
28.1
26.2
40-
21.1
31.4
24.0
27.5
35
27.2
30.9
38.7
21.4
30.
34.6
25.5
37.2
23.5
15.6
34.0
25-
23.8
28.0
20.9
30.9
20.
23.1
32.7
28.0
30.3
40
29.2
28.1
Figure 1
24.0
29.6
23.0
31.5
Send data to Excel
Transcribed Image Text:The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought new two years ago, and each sold used within the past month. For each Cadet in the sample, we have listed both the mileage x (in thousands of miles) that the Cadet had on its odometer at the time it was sold used and the price y (in thousands of dollars) at which the Cadet was sold used. With the aim of predicting the used selling price from the number of miles driven, we might examine the least-squares regression line, y=41.57 – 0.49.x. This line is shown in the scatter plot in Figure 1. Used selling price, Mileage, x (in thousands) (in thousands of dollars) 25.9 26.1 28.1 26.2 40- 21.1 31.4 24.0 27.5 35 27.2 30.9 38.7 21.4 30. 34.6 25.5 37.2 23.5 15.6 34.0 25- 23.8 28.0 20.9 30.9 20. 23.1 32.7 28.0 30.3 40 29.2 28.1 Figure 1 24.0 29.6 23.0 31.5 Send data to Excel
1. Fill in the blank: For these data, used selling prices that are greater
than the mean of the used selling prices tend to be paired with
mileages that are.
Choose one
the mean of the mileages.
2. Fill in the blank: According to the regression equation, for an
increase of one thousand miles in Cadet mileage, there is a
corresponding
price.
Choose one
of 0.49 thousand dollars in the used selling
3. From the regression equation, what is the predicted used selling
price (in thousands of dollars) when the mileage is 23.8 thousand
miles? (Round your answer to at least one decimal place.)
4. From the regression equation, what is the predicted used selling
price (in thousands of dollars) when the mileage is 25.3 thousand
miles? (Round your answer to at least one decimal place.)
Transcribed Image Text:1. Fill in the blank: For these data, used selling prices that are greater than the mean of the used selling prices tend to be paired with mileages that are. Choose one the mean of the mileages. 2. Fill in the blank: According to the regression equation, for an increase of one thousand miles in Cadet mileage, there is a corresponding price. Choose one of 0.49 thousand dollars in the used selling 3. From the regression equation, what is the predicted used selling price (in thousands of dollars) when the mileage is 23.8 thousand miles? (Round your answer to at least one decimal place.) 4. From the regression equation, what is the predicted used selling price (in thousands of dollars) when the mileage is 25.3 thousand miles? (Round your answer to at least one decimal place.)
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