Given are five observations for two variables, x and y. 3 8 13 18 20 Yi 57 58 46 17 14 The estimated regression equation for these data is ŷ = 73.73 – 2.85x. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) SST (to 2 decimals) SSR (to 2 decimals) o. Compute the coefficient of determination r². Comment on the goodness of fit. (to 3 decimals) The least squares line provided an good fit; % of the variability in y has been explained by the estimated regression equation (to 1 decimal). :. Compute the sample correlation coefficient. Enter negative value as negative number. (to 3 decimals)

College Algebra
10th Edition
ISBN:9781337282291
Author:Ron Larson
Publisher:Ron Larson
Chapter3: Polynomial Functions
Section3.5: Mathematical Modeling And Variation
Problem 2ECP
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Given are five observations for two variables, x and y.
3
8
13
18
20
Yi
57
58
46
17
14
The estimated regression equation for these data is ŷ = 73.73 – 2.85x.
a. Compute SSE, SST, and SSR.
SSE
(to 2 decimals)
SST
(to 2 decimals)
SSR
(to 2 decimals)
b. Compute the coefficient of determination r. Comment on the goodness of fit.
(to 3 decimals)
The least squares line provided an good
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)
Transcribed Image Text:Hint(s) Check My Work Given are five observations for two variables, x and y. 3 8 13 18 20 Yi 57 58 46 17 14 The estimated regression equation for these data is ŷ = 73.73 – 2.85x. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) SST (to 2 decimals) SSR (to 2 decimals) b. Compute the coefficient of determination r. Comment on the goodness of fit. (to 3 decimals) The least squares line provided an good 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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