Source I S df MS Number of obs 353 F(4, 348) 146.22 Model I 308.574038 4 77.1435096 Prob > F 0.0000 Residual I 183.601497 348 R-squared Adj R-squared Root MSE .527590508 0.6270 0.6227 Total | 492.175535 352 1.39822595 .72635 1salary | Coef. Std. Err. P>It| [95% Conf. Interval] t 無 years | gamesyr | hrunsyr | rbisyr | .0692793 0121017 5.72 0.000 .0454776 .093081 .0123486 .002636 4.68 0.000 .0071642 .0175331 .0109998 .0155795 0.71 0.481 -.019642 .0416416 .0124563 .006915 1.80 0.073 -.0011441 .0260566 „cons | 11.42672 .1166412 97.96 0.000 11.19731 11.65613 According to the regression output above, ở =?

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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Question
Source |
S
df
MS
Number of obs
353
F(4, 348)
146.22
Model |
308.574038
4 77.1435096
Prob > F
0.0000
%3D
Residual |
183.601497
348
.527590508
0.6270
R-squared
Adj R-squared
0.6227
Total | 492.175535
352
1.39822595
Root MSE
72635
1salary |
Coef.
Std. Err.
P>It|
[95% Conf. Interval]
years |
gamesyr |
hrunsyr |
rbisyr |
.0692793
.0121017
5.72
0.000
.0454776
.093081
.0123486
002636
4.68
0.000
.0071642
.0175331
.0109998
.0155795
0.71
0.481
-.019642
.0416416
.0124563
.006915
1.80
0.073
-.0011441
.0260566
„cons |
11.42672
.1166412
97.96
0.000
11.19731
11.65613
According to the regression output above, ở =?
Transcribed Image Text:Source | S df MS Number of obs 353 F(4, 348) 146.22 Model | 308.574038 4 77.1435096 Prob > F 0.0000 %3D Residual | 183.601497 348 .527590508 0.6270 R-squared Adj R-squared 0.6227 Total | 492.175535 352 1.39822595 Root MSE 72635 1salary | Coef. Std. Err. P>It| [95% Conf. Interval] years | gamesyr | hrunsyr | rbisyr | .0692793 .0121017 5.72 0.000 .0454776 .093081 .0123486 002636 4.68 0.000 .0071642 .0175331 .0109998 .0155795 0.71 0.481 -.019642 .0416416 .0124563 .006915 1.80 0.073 -.0011441 .0260566 „cons | 11.42672 .1166412 97.96 0.000 11.19731 11.65613 According to the regression output above, ở =?
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