(a) State the predictors available in this model. (b) Determine the multiple regression model for this analysis.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Based on the given multiple regression output tables below, answer the following
questions:
Model Summary
Adjusted R
Square
Std. Error of the
Estimate
Durbin-
Model
R
R Square
Watson
1
.842
.710
.630
109.430
1.158
ANOVA
Sum of
Model
Squares
df
Mean Square
F
Sig.
Regression
321946.82
3
107315.6
8.96
0.0027
Residual
131723.20
11
11974.8
Total
453670.00
14
Coefficients
Standardized
Coefficients
Unstandardized Coefficients
Model
B
Std. Error
Beta
Sig.
t
(Constant)
X Variable 1
X Variable 2
X Variable 3
657.053
167.46
3.92
.0024
5.7103
1.792
-.101
3.19
.0087
-0.4169
0.322
-.077
-1.29
.2222
-3.4715
1.443
-7.996
-2.41
.0349
(a) State the predictors available in this model.
(b) Determine the multiple regression model for this analysis.
Transcribed Image Text:Based on the given multiple regression output tables below, answer the following questions: Model Summary Adjusted R Square Std. Error of the Estimate Durbin- Model R R Square Watson 1 .842 .710 .630 109.430 1.158 ANOVA Sum of Model Squares df Mean Square F Sig. Regression 321946.82 3 107315.6 8.96 0.0027 Residual 131723.20 11 11974.8 Total 453670.00 14 Coefficients Standardized Coefficients Unstandardized Coefficients Model B Std. Error Beta Sig. t (Constant) X Variable 1 X Variable 2 X Variable 3 657.053 167.46 3.92 .0024 5.7103 1.792 -.101 3.19 .0087 -0.4169 0.322 -.077 -1.29 .2222 -3.4715 1.443 -7.996 -2.41 .0349 (a) State the predictors available in this model. (b) Determine the multiple regression model for this analysis.
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