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
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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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fad7698e6-8405-4b47-832b-91e13474f515%2F64bd6b78-3a34-448d-853d-858c4de3da10%2Fn8h2nti_processed.png&w=3840&q=75)
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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