What is the value of the OLS estimate of the variance the residuals (the s2) ? a) .35b) .34c) .33d) .32e.) .31 The output below is OLS estimation of log output, (Inoutput) as a function of inputs:capital stock (number of units), labour (number of people) and years of managerialexperience on a sample of farms.Output is measured in thousands of kilograms. The managerial experience variableis a proxy for the unobserved variable managerial efficiencyLnOutput; = bo+ bịCapital; + b2Labour; + b3Manage_Experience; + UiSome of the information from the output has been hidden.reg Inoutput capital labour manexperSource |SSdfMSNumber of obs%3DF (3, 71)15.01%3DModel |Residual |35.33333333Prob > F0.000025.000000R-squaredAdj R-squared71Total |41.00000074.554054054Root MSE.59333Inoutput |Coef.Std. Err.P>|t|[95% Conf. Interval]capital |labour |.0606554.02573292.360.0210093455.1119653.0434242.0216242.010.048.0003071.0865414.0205922manexper |cons |1.500.1389097925.22850373.980.000.4541691.365416

The estimate of the variance of the residuals is given by the Mean Square of Error(MSE) which is…

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What is the value of the OLS estimate of the variance the residuals (the s2) ? a) .35 b) .34 c) .33 d) .32 e.) .31

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter6: Exponential And Logarithmic Functions

Section6.8: Fitting Exponential Models To Data

Problem 3TI: Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to...

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Question

100%

What is the value of the OLS estimate of the variance the residuals (the s2) ?

a) .35

b) .34

c) .33

d) .32

e.) .31

The output below is OLS estimation of log output, (Inoutput) as a function of inputs:
capital stock (number of units), labour (number of people) and years of managerial
experience on a sample of farms.
Output is measured in thousands of kilograms. The managerial experience variable
is a proxy for the unobserved variable managerial efficiency
LnOutput; = bo+ bịCapital; + b2Labour; + b3Manage_Experience; + Ui
Some of the information from the output has been hidden.
reg Inoutput capital labour manexper
Source |
SS
df
MS
Number of obs
%3D
F (3, 71)
15.01
%3D
Model |
Residual |
3
5.33333333
Prob > F
0.0000
25.000000
R-squared
Adj R-squared
71
Total |
41.000000
74
.554054054
Root MSE
.59333
Inoutput |
Coef.
Std. Err.
P>|t|
[95% Conf. Interval]
capital |
labour |
.0606554
.0257329
2.36
0.021
0093455
.1119653
.0434242
.021624
2.01
0.048
.0003071
.0865414
.0205922
manexper |
cons |
1.50
0.138
9097925
.2285037
3.98
0.000
.454169
1.365416

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