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11.4.3 WP Consider the following computer output. The regression equation is Y = 12.9 + 2.34 x Predictor Constant Coef 12.857 Regression Residual error Total 2.3445 Analysis of Variance Source 1.032 X 0.1150 ? S = 1.48111 R-sq = 98.1% R-sq (adj) = 97.9% SE Coef DF 1 8 9 T ? SS 912.43 17.55 929.98 P ? ? MS F P 912.43 ? ? ? a. Fill in the missing information. You may use bounds for the P-values. b. Can you conclude that the model defines a useful linear relationship? c. What is your estimate of o²?

11.4.3 WP Consider the following computer output. The regression equation is Y = 12.9 + 2.34 x Predictor Constant Coef 12.857 Regression Residual error Total 2.3445 Analysis of Variance Source 1.032 X 0.1150 ? S = 1.48111 R-sq = 98.1% R-sq (adj) = 97.9% SE Coef DF 1 8 9 T ? SS 912.43 17.55 929.98 P ? ? MS F P 912.43 ? ? ? a. Fill in the missing information. You may use bounds for the P-values. b. Can you conclude that the model defines a useful linear relationship? c. What is your estimate of o²?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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11.4.3 WP Consider the following computer output. The regression equation is Y = 12.9 + 2.34 x Predictor Constant Coef 12.857 X S = 1.48111 R-sq = 98.1% Regression Residual error Total 2.3445 Analysis of Variance Source DF 1 8 9 SE Coef T ? ? R-sq(adj) = 97.9% 1.032 0.1150 P ? SS 912.43 17.55 929.98 ? MS F P 912.43 ? ? ? a. Fill in the missing information. You may use bounds for the P-values. b. Can you conclude that the model defines a useful linear relationship? c. What is your estimate of o²?
Transcribed Image Text:11.4.3 WP Consider the following computer output. The regression equation is Y = 12.9 + 2.34 x Predictor Constant Coef 12.857 X S = 1.48111 R-sq = 98.1% Regression Residual error Total 2.3445 Analysis of Variance Source DF 1 8 9 SE Coef T ? ? R-sq(adj) = 97.9% 1.032 0.1150 P ? SS 912.43 17.55 929.98 ? MS F P 912.43 ? ? ? a. Fill in the missing information. You may use bounds for the P-values. b. Can you conclude that the model defines a useful linear relationship? c. What is your estimate of o²?
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