(a) For the estimated regression equation given, compute R.(Round your answer to two decimal places.) R2 = (b) Compute the adjusted r-square, R,. (Round your answer to two decimal places.) R -( (c) Does the model appear to explain a large amount of variability the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to the nearest integer.) The adjusted coefficient of determination shows that % of the variability has been explained by the two independent variables; thus, we conclude that the model -Select-- v explain a large amount of variability.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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The following estimated regression equation relating sales to inventory investment and advertising expenditures was given.
ŷ = 22 + 15x, + 6x2
The data used to develop the model came from a survey of 10 stores; for those data, SSyy (Total Sum of Squares) = 18,000 and SSR (Regression Sum of Squares) = 12,780.
(a) For the estimated regression equation given, compute R2.(Round your answer to two decimal places.)
R2 =
(b) Compute the adjusted r-square, R2. (Round your answer to two decimal places.)
(c) Does the model appear to explain a large amount of variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to the nearest integer.)
The adjusted coefficient of determination shows that
| % of the variability has been explained by the two independent variables; thus, we conclude that the model --Select-- v explain a large amount of variability.
Transcribed Image Text:The following estimated regression equation relating sales to inventory investment and advertising expenditures was given. ŷ = 22 + 15x, + 6x2 The data used to develop the model came from a survey of 10 stores; for those data, SSyy (Total Sum of Squares) = 18,000 and SSR (Regression Sum of Squares) = 12,780. (a) For the estimated regression equation given, compute R2.(Round your answer to two decimal places.) R2 = (b) Compute the adjusted r-square, R2. (Round your answer to two decimal places.) (c) Does the model appear to explain a large amount of variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to the nearest integer.) The adjusted coefficient of determination shows that | % of the variability has been explained by the two independent variables; thus, we conclude that the model --Select-- v explain a large amount of variability.
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