2.99 127 3.95 137 112 A The fieted regression model is Y - A The feted model a valid/net valid because the test statistic is and the critical is Test the joint effect of X and Xy to n CXg variable has an individual effect/has not indivdual effect to Y because the than the significance level d. The coefficient of the multiple determination is Analysis of Variance Source OF Ad SS Ad MS F-Value P-Value Regression 2 5968.5 2994.2 Weght X1 3808.4 3808.4 7.73 0.032 Weight X2 2278 2278 0.46 0.522 Emor 6 2955.1 492.5 Total 8 8943.6 Coefficients Term Coel SE Coef T-Value P.Value VIF Constant 68 143 -0.48 0.649 Weight X1 13.41 4.82 2.78 0.032 1.24 066 0.522 1.24

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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60
112
2.99 127
3.95 137
A The fitted regression model is Y
b. The ftted model validnot valid
because the test statistic is
and the critical is
o twalla
Test the Joint effect of X and Xg to
CX variable has an individual effect/has not indivdual effect
to Y because the
than
the significance level
d. The coefficient of the multiple determination is
Analysis of Variance
Source
OF Ad SS Adj MS F-Value P-Value
Regression
2 5968.5 2994.2
Weight X1
1.
3608.4 3808.4
7.73
0.032
Weight X2
227.8
2278
0.46
0.522
Emor
6 2955.1
492.5
Total
8 8943.6
Coefficients
Term
Coef SE Coef T-Value P-Value
VIF
Constant
68
143
0.48
0.649
Weight X1
13.41
4.82
2.78
0.032 1.24
Wein X2
076
1.11
068
0.522 124
Transcribed Image Text:60 112 2.99 127 3.95 137 A The fitted regression model is Y b. The ftted model validnot valid because the test statistic is and the critical is o twalla Test the Joint effect of X and Xg to CX variable has an individual effect/has not indivdual effect to Y because the than the significance level d. The coefficient of the multiple determination is Analysis of Variance Source OF Ad SS Adj MS F-Value P-Value Regression 2 5968.5 2994.2 Weight X1 1. 3608.4 3808.4 7.73 0.032 Weight X2 227.8 2278 0.46 0.522 Emor 6 2955.1 492.5 Total 8 8943.6 Coefficients Term Coef SE Coef T-Value P-Value VIF Constant 68 143 0.48 0.649 Weight X1 13.41 4.82 2.78 0.032 1.24 Wein X2 076 1.11 068 0.522 124
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