Source ISSdfMSNumber of obs353F(4, 348)146.22%3DModel |308.57403877.1435096Prob > F0.0000%3DResidual |183.601497348.527590508R-squaredAdj R-squared%3D0.62700.6227%3DTotal I492.1755353521.39822595Root MSE726351salary |Coef.Std. Err.P>It|[95% Conf. Interval]years.0692793.01210175.720.000.0454776.0930814.68gamesyr |hrunsyrrbisyr |.0123486.0026360.000.0071642.0175331.0109998.01557950.710.481-.019642.0416416.0124563.0069151.800.073-.0011441.0260566„cons |11.42672.116641297.960.00011.1973111.65613According to the above regression output F statistic?According to the above regression output RSS=?According to the above regression R statistics come from?According to the regression output above, ở =?

Name: Source ISSdfMSNumber of obs353F(4, 348)146.22%3DModel |308.57403877.1
Uploaded: 2024-03-20T07:07:00.000Z
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Description: Source ISSdfMSNumber of obs353F(4, 348)146.22%3DModel |308.57403877.1435096Prob > F0.0000%3DResidual |183.601497348.527590508R-squaredAdj R-squared%3D0.62700.6227%3DTotal I492.1755353521.39822595Root MSE726351salary |Coef.Std. Err.P>It|[95% Conf. In

According to the given regression output F statistic is as follows: F(4,348)=146.22

Math

Statistics

Source I SS df MS Number of obs 353 F(4, 348) 146.22 Model | 308.574038 4 77.1435096 Prob > F 0.0000 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 .0260566 11.65613 .0124563 .006915 1.80 0.073 -.0011441 „cons | 11.42672 .1166412 97.96 0.000 11.19731 According to the above regression output F statistic? According to the above regression output RSS=? According to the above regression R statistics come from? According to the regression output above, ở =?

Source I SS df MS Number of obs 353 F(4, 348) 146.22 Model | 308.574038 4 77.1435096 Prob > F 0.0000 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 .0260566 11.65613 .0124563 .006915 1.80 0.073 -.0011441 „cons | 11.42672 .1166412 97.96 0.000 11.19731 According to the above regression output F statistic? According to the above regression output RSS=? According to the above regression R statistics come from? 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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Concept explainers

2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.

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Question

Source I
SS
df
MS
Number of obs
353
F(4, 348)
146.22
%3D
Model |
308.574038
77.1435096
Prob > F
0.0000
%3D
Residual |
183.601497
348
.527590508
R-squared
Adj R-squared
%3D
0.6270
0.6227
%3D
Total I
492.175535
352
1.39822595
Root MSE
72635
1salary |
Coef.
Std. Err.
P>It|
[95% Conf. Interval]
years
.0692793
.0121017
5.72
0.000
.0454776
.093081
4.68
gamesyr |
hrunsyr
rbisyr |
.0123486
.002636
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 above regression output F statistic?
According to the above regression output RSS=?
According to the above regression R statistics come from?
According to the regression output above, ở =?

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