Given are five observations for two variables, x and y. 4 9 12 14 20 50 52 40 22 10 The estimated regression equation for these data is ŷ = 68.09 – 2.82x. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) SST (to 2 decimals) SSR (to 2 decimals) b. Compute the coefficient of determination p2. Comment on the goodness of fit. (to 3 decimals) The least squares line provided an Select your answer v 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)

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 93E
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Given are five observations for two variables,  and .

Given are five observations for two variables, x and y.
4
9 12 14
20
Yi
50
52 40 22
10
The estimated regression equation for these data is ŷ
= 68.09 – 2.82x,
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
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)
Transcribed Image Text:Given are five observations for two variables, x and y. 4 9 12 14 20 Yi 50 52 40 22 10 The estimated regression equation for these data is ŷ = 68.09 – 2.82x, 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 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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