5. The following is some R output when the 7 first order models fitted to the data described in Question 4: 1m(final test1 + test2 + project) ANOVA Sum of Squares DF Mean Square F Sig. Regression 396.985 Residual Total 98.405 495.390 16 19 3699 132.328 6.150 21.516 0.0000 Parameter Estimates model Beta Std. Error Std. Beta t Sig (Intercept) 117.085 99.782 1.173 0.258 test1 4.334 3.016 4.264 1.437 0.170 test2 -2.857 2.582 -2.929 -1.106 0.285 project -2.186 1.595 -1.561 -1.370 0.190

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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5. The following is some R output when the 7 first order models fitted to the data
described in Question 4:
1m(final test1 + test2 + project)
ANOVA
Sum of
Squares
DF
Mean Square
F
Sig.
Regression
396.985
Residual
Total
98.405
495.390
16
19
3699
132.328
6.150
21.516
0.0000
Parameter Estimates
model
Beta
Std. Error
Std. Beta
t
Sig
(Intercept)
117.085
99.782
1.173
0.258
test1
4.334
3.016
4.264
1.437
0.170
test2
-2.857
2.582
-2.929
-1.106
0.285
project
-2.186
1.595
-1.561
-1.370
0.190
Transcribed Image Text:5. The following is some R output when the 7 first order models fitted to the data described in Question 4: 1m(final test1 + test2 + project) ANOVA Sum of Squares DF Mean Square F Sig. Regression 396.985 Residual Total 98.405 495.390 16 19 3699 132.328 6.150 21.516 0.0000 Parameter Estimates model Beta Std. Error Std. Beta t Sig (Intercept) 117.085 99.782 1.173 0.258 test1 4.334 3.016 4.264 1.437 0.170 test2 -2.857 2.582 -2.929 -1.106 0.285 project -2.186 1.595 -1.561 -1.370 0.190
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