(a) Compute SST, SSR, and SSE. (Round your answers to three decimal places.) SST = 1920 SSR = 1623.646 SSE = 296.354 X X (b) Compute the coefficient of determination 2. (Round your answer to three decimal places.) 20.845 X Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) The least squares line did not provide a good fit as a small proportion of the variability in y has been explained by the least squares line. The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squares line. The least squares line provided a good fit as a large proportion of the variability in y has been explained by the least squares line. The least squares line did not provide a good fit as a large proportion of the variability in y has been explained by the least squares line. (c) What is the value of the sample correlation coefficient? (Round your answer to three decimal places.) 0.919 X
(a) Compute SST, SSR, and SSE. (Round your answers to three decimal places.) SST = 1920 SSR = 1623.646 SSE = 296.354 X X (b) Compute the coefficient of determination 2. (Round your answer to three decimal places.) 20.845 X Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) The least squares line did not provide a good fit as a small proportion of the variability in y has been explained by the least squares line. The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squares line. The least squares line provided a good fit as a large proportion of the variability in y has been explained by the least squares line. The least squares line did not provide a good fit as a large proportion of the variability in y has been explained by the least squares line. (c) What is the value of the sample correlation coefficient? (Round your answer to three decimal places.) 0.919 X
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
Most of the answers are wrong
![The following data show the brand, price ($), and the overall score for six stereo headphones that were tested by a certain magazine. The overall
score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated
regression equation for these data is = 22.458194 + 0.325418x, where x = price ($) and y = overall score.
Brand
A
B
C
D
E
F
Price ($)
= 0.845
180
150
95
70
70
35
Score
X
X
X
78
69
63
56
(a) Compute SST, SSR, and SSE. (Round your answers to three decimal places.)
SST = 1920
SSR = 1623.646
SSE 296.354
38
26
(b) Compute the coefficient of determination r2. (Round your answer to three decimal places.)
2
Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.)
The least squares line did not provide a good fit as a small proportion of the variability in y has been explained by the least squares
line.
The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squares line.
The least squares line provided a good fit as a large proportion of the variability in y has been explained by the least squares line.
The least squares line did not provide a good fit as a large proportion of the variability in y has been explained by the least squares
line.
(c) What is the value of the sample correlation coefficient? (Round your answer to three decimal places.)
0.919
X](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F840ac9d4-eb27-4280-b70d-21eed9a81895%2F8dbc4887-5417-441b-ad77-068a12b72492%2Fiq07if9_processed.png&w=3840&q=75)
Transcribed Image Text:The following data show the brand, price ($), and the overall score for six stereo headphones that were tested by a certain magazine. The overall
score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated
regression equation for these data is = 22.458194 + 0.325418x, where x = price ($) and y = overall score.
Brand
A
B
C
D
E
F
Price ($)
= 0.845
180
150
95
70
70
35
Score
X
X
X
78
69
63
56
(a) Compute SST, SSR, and SSE. (Round your answers to three decimal places.)
SST = 1920
SSR = 1623.646
SSE 296.354
38
26
(b) Compute the coefficient of determination r2. (Round your answer to three decimal places.)
2
Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.)
The least squares line did not provide a good fit as a small proportion of the variability in y has been explained by the least squares
line.
The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squares line.
The least squares line provided a good fit as a large proportion of the variability in y has been explained by the least squares line.
The least squares line did not provide a good fit as a large proportion of the variability in y has been explained by the least squares
line.
(c) What is the value of the sample correlation coefficient? (Round your answer to three decimal places.)
0.919
X
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