B. Use the 2 points (3,99) and (8,18) to calculate a line of fit. Enter the value of the slope, using the exact value. Enter the value of the y intercept, using the exact value. C. Which of the following is the equation of the regression line? Oy = -0.05x - + 8.49 Oy = -16.6x +150.4 Oy = 150.4x-16.6 correct answer is not given D. Is it acceptable to use the regression equation to predict the value of a car that is 10 years old? O No, because the value is beyond the limits of the data O No, because the value would be negative. O Yes, because you can always substitute numbers into an equation. O Yes, because the value of R is very stong.
B. Use the 2 points (3,99) and (8,18) to calculate a line of fit. Enter the value of the slope, using the exact value. Enter the value of the y intercept, using the exact value. C. Which of the following is the equation of the regression line? Oy = -0.05x - + 8.49 Oy = -16.6x +150.4 Oy = 150.4x-16.6 correct answer is not given D. Is it acceptable to use the regression equation to predict the value of a car that is 10 years old? O No, because the value is beyond the limits of the data O No, because the value would be negative. O Yes, because you can always substitute numbers into an equation. O Yes, because the value of R is very stong.
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
100%
![An auto manufacturing company wanted to investigate how the price of one of its car models depreciates
with ages. The research department at the company took a sample of 8 cars of this model and collected
information on the ages (in years) and prices (in hundreds of dollars).
6.
Age
Price 18
8.
3
94
50
21
145
42
36
99
Here is a scatterplot of the data.
Age versus price of 8 cars
160
140
120
100
80
60
40
20
10
Age
A.
Is the relationship positive or negative?
O positive
O negative
Price (in hundreds of
dollars)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa95bd352-84e2-4cf4-a273-273c87cc041f%2F6af89d6d-e7da-4486-b6b8-7f6aefbc5fa5%2Fyi1699s_processed.jpeg&w=3840&q=75)
Transcribed Image Text:An auto manufacturing company wanted to investigate how the price of one of its car models depreciates
with ages. The research department at the company took a sample of 8 cars of this model and collected
information on the ages (in years) and prices (in hundreds of dollars).
6.
Age
Price 18
8.
3
94
50
21
145
42
36
99
Here is a scatterplot of the data.
Age versus price of 8 cars
160
140
120
100
80
60
40
20
10
Age
A.
Is the relationship positive or negative?
O positive
O negative
Price (in hundreds of
dollars)
![B. Use the 2 points (3,99) and (8,18) to calculate a line of fit.
Enter the value of the slope, using the exact value.
Enter the value of the y intercept, using the exact value.
C. Which of the following is the equation of the regression line?
Oy = -0.05x -
+ 8.49
Oy = -16.6x +150.4
Oy = 150.4x-16.6
correct answer is not given
D. Is it acceptable to use the regression equation to predict the value of a car that is 10 years old?
O No, because the value is beyond the limits of the data
O No, because the value would be negative.
O Yes, because you can always substitute numbers into an equation.
O Yes, because the value of R is very stong.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa95bd352-84e2-4cf4-a273-273c87cc041f%2F6af89d6d-e7da-4486-b6b8-7f6aefbc5fa5%2Fkej6yoa_processed.jpeg&w=3840&q=75)
Transcribed Image Text:B. Use the 2 points (3,99) and (8,18) to calculate a line of fit.
Enter the value of the slope, using the exact value.
Enter the value of the y intercept, using the exact value.
C. Which of the following is the equation of the regression line?
Oy = -0.05x -
+ 8.49
Oy = -16.6x +150.4
Oy = 150.4x-16.6
correct answer is not given
D. Is it acceptable to use the regression equation to predict the value of a car that is 10 years old?
O No, because the value is beyond the limits of the data
O No, because the value would be negative.
O Yes, because you can always substitute numbers into an equation.
O Yes, because the value of R is very stong.
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