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Consider the multiple regression output shown: The regression equation is Y = 45.16.67X1 + 1.63X2 + 1.54X3 + 0.413X4. Predictor Coef SE Coef T Constant X1 X2 X3 X4 45.11 Regression -6.670 1.626 Residual Frror Analysis of Variance Source 19.53 2.31 0.060 DF SS 1.036 -6.44 0.001 1.137 1.43 1.5423 0.5450 2.83 0.030 0.4126 0.1371 3.01 0.024 S = 2.07364 R - Sq = 99.8% R - Sq (adj) = 99.6% P 6 0.202 258 4 11097.6 2774.4 650.66 0.000 MS F P 43

Consider the multiple regression output shown: The regression equation is Y = 45.16.67X1 + 1.63X2 + 1.54X3 + 0.413X4. Predictor Coef SE Coef T Constant X1 X2 X3 X4 45.11 Regression -6.670 1.626 Residual Frror Analysis of Variance Source 19.53 2.31 0.060 DF SS 1.036 -6.44 0.001 1.137 1.43 1.5423 0.5450 2.83 0.030 0.4126 0.1371 3.01 0.024 S = 2.07364 R - Sq = 99.8% R - Sq (adj) = 99.6% P 6 0.202 258 4 11097.6 2774.4 650.66 0.000 MS F P 43

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Consider the multiple regression output shown: Coefficient: i The regression equation is Y = 45.16.67X1 + 1.63X2 + 1.54X3 + 0.413X4. p-value: i Predictor Coef SE Coef T Constant X1 X2 X3 X4 45.11 -6.670 1.626 Total Regression Residual Error Analysis of Variance Source 19.53 2.31 0.060 1.5423 0.5450 2.83 0.030 1.036 -6.44 0.001 1.137 1.43 0.4126 0.1371 3.01 0.024 S = 2.07364 R - Sq = 99.8% R - Sq (adj) = 99.6% 6 DF SS 10 P 0.202 4 11097.6 2774.4 650.66 0.000 25.8 11123.4 MS F P 4.3 What is the coefficient of X2 in the model? What is the p-value for testing this coefficient? Round your answers to three decimal places.
Transcribed Image Text:Consider the multiple regression output shown: Coefficient: i The regression equation is Y = 45.16.67X1 + 1.63X2 + 1.54X3 + 0.413X4. p-value: i Predictor Coef SE Coef T Constant X1 X2 X3 X4 45.11 -6.670 1.626 Total Regression Residual Error Analysis of Variance Source 19.53 2.31 0.060 1.5423 0.5450 2.83 0.030 1.036 -6.44 0.001 1.137 1.43 0.4126 0.1371 3.01 0.024 S = 2.07364 R - Sq = 99.8% R - Sq (adj) = 99.6% 6 DF SS 10 P 0.202 4 11097.6 2774.4 650.66 0.000 25.8 11123.4 MS F P 4.3 What is the coefficient of X2 in the model? What is the p-value for testing this coefficient? Round your answers to three decimal places.
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