Coefficients Term Constant x1 x2 x3 Model Summary S 3.47963 Analysis of Variance Source Regression Error Total Coef 47.2 -9.74 0.428 18.24 R-sq 99.37% DF (5) (6) 19 SE Coef 49.6 3.69 0.224 1.31 R-sq (adj) 99.25% Adj SS 193.7 (8) 91% CI (-42.3, 136.6) (-16.40, -3.07) (0.024, 0.832) (15.87, 20.60) PRESS 282.270 Adj MS 10177.2 (9) T-Value (1) (2) (3) (4) R-sq(pred) 99.08% F-Value (10) P-Value VIF 0.356 0.018 6.61 0.074 2.45 0.000 9.35 BIC 117.15 AICC 116.46 P-Value 0.000

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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22. Is there multicollinearity in the model?

Yes, No or Cannot be determined?

Coefficients
Term
Constant
x1
x2
x3
Model Summary
S
3.47963
Analysis of Variance
Source
Regression
Error
Total
Coef
47.2
-9.74
0.428
18.24
R-sq
99.37%
DF
(5)
(6)
19
91% CI
SE Coef
49.6
(-42.3, 136.6)
3.69
(-16.40, -3.07)
0.224 (0.024, 0.832)
1.31
(15.87, 20.60)
R-sq(adj)
PRESS
99.25%
282.270
Adj SS
193.7
(8)
Adj MS
10177.2
(9)
T-Value
(1)
(2)
(3)
(4)
R-sq (pred)
99.08%
F-Value
(10)
P-Value
VIF
0.356
0.018
6.61
0.074
2.45
0.000 9.35
BIC
117.15
AICC
116.46
P-Value
0.000
Transcribed Image Text:Coefficients Term Constant x1 x2 x3 Model Summary S 3.47963 Analysis of Variance Source Regression Error Total Coef 47.2 -9.74 0.428 18.24 R-sq 99.37% DF (5) (6) 19 91% CI SE Coef 49.6 (-42.3, 136.6) 3.69 (-16.40, -3.07) 0.224 (0.024, 0.832) 1.31 (15.87, 20.60) R-sq(adj) PRESS 99.25% 282.270 Adj SS 193.7 (8) Adj MS 10177.2 (9) T-Value (1) (2) (3) (4) R-sq (pred) 99.08% F-Value (10) P-Value VIF 0.356 0.018 6.61 0.074 2.45 0.000 9.35 BIC 117.15 AICC 116.46 P-Value 0.000
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