Consider the following computer output. The regression equation is Analysis of Variance (a) Fill in the missing

Question:

Consider the following computer output. The regression equation is

Y = 12.9 + 2.34 x Predictor Constant Coef 12.857 2.3445 R-sq = 98.1% R-sq(adj) = 97.9% SE Coef 1.032 0.1150 ? S= 1.48111

Analysis of Variance

Source Regression Residual error DF MS SS 912.43 17.55 929.98 912.43 ? ? Total

(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?

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Applied Statistics And Probability For Engineers

ISBN: 9781118539712

6th Edition

Authors: Douglas C. Montgomery, George C. Runger

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Question Posted: Jul 02, 2018 08:38 AM

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Consider the following computer output. The regression equation is Analysis of Variance (a) Fill in the missing

Question:

Y = 12.9 + 2.34 x Predictor Constant Coef 12.857 2.3445 R-sq = 98.1% R-sq(adj) = 97.9% SE Coef 1.032 0.1150 ? S= 1.48111 Source Regression Residual error DF MS SS 912.43 17.55 929.98 912.43 ? ? Total

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a Pvalue 2P T 8 124583 and Pvalue 200005 0001 Pvalue 2P T 8 20387 and Pvalue 2...View the full answer

Applied Statistics And Probability For Engineers

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