Given are five observations for two variables, x and y. 2 14 17 19 50 58 48 19 14 Yi The estimated regression equation for these data is ŷ = 63.29 – 2.24x. a. Compute SSE, SST, and SSR. SSE |(to 2 decimals) SST (to 2 decimals) SSR (to 2 decimals) b. Compute the coefficient of determination r2. Comment on the goodness of fit. |(to 3 decimals) The least squares line provided an fit; - Select your answer - % of the variability in y has been explained by the estimated regression equation (to 1 decimal). c. Compute the sample correlation coefficient. Enter negative value as negative number. (to 3 decimals)
Given are five observations for two variables, x and y. 2 14 17 19 50 58 48 19 14 Yi The estimated regression equation for these data is ŷ = 63.29 – 2.24x. a. Compute SSE, SST, and SSR. SSE |(to 2 decimals) SST (to 2 decimals) SSR (to 2 decimals) b. Compute the coefficient of determination r2. Comment on the goodness of fit. |(to 3 decimals) The least squares line provided an fit; - Select your answer - % of the variability in y has been explained by the estimated regression equation (to 1 decimal). c. Compute the sample correlation coefficient. Enter negative value as negative number. (to 3 decimals)
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
![Given are five observations for two variables, x and y.
2
14
17
19
50
58
48
19
14
Yi
The estimated regression equation for these data is ŷ = 63.29 – 2.24x.
a. Compute SSE, SST, and SSR.
SSE
(to 2 decimals)
SST
(to 2 decimals)
SSR
(to 2 decimals)
b. Compute the coefficient of determination r2. Comment on the goodness of fit.
(to 3 decimals)
The least squares line provided an - Select your answer -
+ fit;
% of the variability in y has been explained
by the estimated regression equation (to 1 decimal).
c. Compute the sample correlation coefficient. Enter negative value as negative number.
(to 3 decimals)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4a11e060-92c7-4c99-b32c-8bbf9de3d4ca%2F11455c8e-1754-4244-95c4-71019ccc680f%2F7bttyfh_processed.png&w=3840&q=75)
Transcribed Image Text:Given are five observations for two variables, x and y.
2
14
17
19
50
58
48
19
14
Yi
The estimated regression equation for these data is ŷ = 63.29 – 2.24x.
a. Compute SSE, SST, and SSR.
SSE
(to 2 decimals)
SST
(to 2 decimals)
SSR
(to 2 decimals)
b. Compute the coefficient of determination r2. Comment on the goodness of fit.
(to 3 decimals)
The least squares line provided an - Select your answer -
+ fit;
% of the variability in y has been explained
by the estimated regression equation (to 1 decimal).
c. Compute the sample correlation coefficient. Enter negative value as negative number.
(to 3 decimals)
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