Question 1 [Soalan 1] Based on the given multiple regression output tables below, answer the following questions: [Berdasarkan kepada jadual dapatan regresi berganda yang dinyatakan di bawah, jawab soalan-soalan yang berikut:] Model Summary Adjusted R Square Std. Error of the Durbin- Model R Square Estimate Watson 1 .887 .787 .776 0.29748 2.156 ANOVA Sum of Model Squares df Mean Square F Sig. Regression 18.347 3 6.116 69.107 .000 Residual 4.956 56 .088 Total 23.303 59 Coefficients Standardized Unstandardized Coefficients Coefficients Model Std. Error Beta Sig. 1 (Constant) -1.003 .315 -3.187 .002 X Variable 1 X Variable 2 X Variable 3 .325 .061 .350 5.307 .000 .485 .069 .460 7.061 .000 .457 .070 .428 6.556 .000 (а) State the multiple regression model for this analysis.
Question 1 [Soalan 1] Based on the given multiple regression output tables below, answer the following questions: [Berdasarkan kepada jadual dapatan regresi berganda yang dinyatakan di bawah, jawab soalan-soalan yang berikut:] Model Summary Adjusted R Square Std. Error of the Durbin- Model R Square Estimate Watson 1 .887 .787 .776 0.29748 2.156 ANOVA Sum of Model Squares df Mean Square F Sig. Regression 18.347 3 6.116 69.107 .000 Residual 4.956 56 .088 Total 23.303 59 Coefficients Standardized Unstandardized Coefficients Coefficients Model Std. Error Beta Sig. 1 (Constant) -1.003 .315 -3.187 .002 X Variable 1 X Variable 2 X Variable 3 .325 .061 .350 5.307 .000 .485 .069 .460 7.061 .000 .457 .070 .428 6.556 .000 (а) State the multiple regression model for this analysis.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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State the multiple regression model for this analysis
![Question 1
[Soalan 1]
Based on the given multiple regression output tables below, answer the following
questions:
[Berdasarkan kepada jadual dapatan regresi berganda yang dinyatakan di bawah, jawab soalan-soalan
yang berikut:]
Model Summary
Adjusted R
Square
Std. Error of the
Durbin-
Model
R Square
Estimate
Watson
.887
.787
.776
0.29748
2.156
ΑNOVA
Sum of
Model
Squares
df
Mean Square
F
Sig.
Regression
18.347
3
6.116
69.107
.000
Residual
4.956
56
.088
Total
23.303
59
Coefficients
Standardized
Unstandardized Coefficients
Coefficients
Model
Std. Error
Beta
Sig.
(Constant)
-1.003
.315
-3.187
.002
X Variable 1
.325
.061
.350
5.307
.000
X Variable 2
.485
.069
.460
7.061
.000
X Variable 3
.457
.070
.428
6.556
.000
(а)
State the multiple regression model for this analysis.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc65e72af-e768-4ed8-b0f5-1a9d5fb9cd56%2F6b7806ff-0687-4fd7-a6ac-a52bb5443c0d%2Fdz3z5kn_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Question 1
[Soalan 1]
Based on the given multiple regression output tables below, answer the following
questions:
[Berdasarkan kepada jadual dapatan regresi berganda yang dinyatakan di bawah, jawab soalan-soalan
yang berikut:]
Model Summary
Adjusted R
Square
Std. Error of the
Durbin-
Model
R Square
Estimate
Watson
.887
.787
.776
0.29748
2.156
ΑNOVA
Sum of
Model
Squares
df
Mean Square
F
Sig.
Regression
18.347
3
6.116
69.107
.000
Residual
4.956
56
.088
Total
23.303
59
Coefficients
Standardized
Unstandardized Coefficients
Coefficients
Model
Std. Error
Beta
Sig.
(Constant)
-1.003
.315
-3.187
.002
X Variable 1
.325
.061
.350
5.307
.000
X Variable 2
.485
.069
.460
7.061
.000
X Variable 3
.457
.070
.428
6.556
.000
(а)
State the multiple regression model for this analysis.
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