where • wage in hourly wage in US. • belavg is a dummy variable (1 if below average looking O otherwise) abvavg is a dummy variable (1 if above average looking O ocherwise), and • married is a dummy variable (1 if married. O ocherwise). What is the value of k in this regression?
where • wage in hourly wage in US. • belavg is a dummy variable (1 if below average looking O otherwise) abvavg is a dummy variable (1 if above average looking O ocherwise), and • married is a dummy variable (1 if married. O ocherwise). What is the value of k in this regression?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![Consider the following regression estimates (FN2)
Linear regression
Number of obs
1,260
F(4, 1255)
56.35
Prob > F
0.0000
R-squared
Root MSE
0.1121
4.3987
Robust
wage
Coef.
Std. Err.
P>|t|
[95% Conf. Interval]
belavg
abvavg
-1.063254
.3047845
-3.49
0.001
-1.661197
-.4653108
.0693348
.3150202
0.22
0.826
-.5486894
.687359
female
-2.751963
.2820787
-9.76
0.000
-3.305
-2.198565
married
.9686236
2612646
3.71
0.000
45606
1.481187
_cons
6.699098
.2889831
23.18
0.000
6.132155
7.266042
where
wage in hourly wage in USS.
belavg is a dummy variable (1 if below average looking O otherwise).
abvavg is a dummy variable (1 if above average looking O otherwise), and
married is a dummy variable (1 if married, O otherwise).
What is the value of k in this regression?
Only stote the number in your answer (e.g. don't write USS or 5).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F99b1926a-8934-4b81-b4f9-0473743b534d%2Fa2d1c47b-ea90-4a80-bf30-a39f48a34aa8%2Ftr6uokj_processed.png&w=3840&q=75)
Transcribed Image Text:Consider the following regression estimates (FN2)
Linear regression
Number of obs
1,260
F(4, 1255)
56.35
Prob > F
0.0000
R-squared
Root MSE
0.1121
4.3987
Robust
wage
Coef.
Std. Err.
P>|t|
[95% Conf. Interval]
belavg
abvavg
-1.063254
.3047845
-3.49
0.001
-1.661197
-.4653108
.0693348
.3150202
0.22
0.826
-.5486894
.687359
female
-2.751963
.2820787
-9.76
0.000
-3.305
-2.198565
married
.9686236
2612646
3.71
0.000
45606
1.481187
_cons
6.699098
.2889831
23.18
0.000
6.132155
7.266042
where
wage in hourly wage in USS.
belavg is a dummy variable (1 if below average looking O otherwise).
abvavg is a dummy variable (1 if above average looking O otherwise), and
married is a dummy variable (1 if married, O otherwise).
What is the value of k in this regression?
Only stote the number in your answer (e.g. don't write USS or 5).
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