Consider the following regression estimates (FN5) Linear regression 1,260 55.69 0.0000 0.0765 4.4842 Robust wage Coef. Std. Err. t P>|t| [95% Conf. Interval] .075917 .0109584 6.93 0.000 .0544182 .0974159 exper union .7327579 .3072295 2.39 0.017 .1300184 1.335498 1.320637 .8588732 1.7824 married _cons .2353709 1804426 5.61 0.000 21.13 0.000 3.812129 3.458127 4.166132 • wage is hourly wage in US$. • Union is a dummy variable which is equal to 1 if the person is member of a labour union and 0 otherwise. • exper is years of work experience. • married is a dummy variable which is equal to 1 if the person is married and 0 otherwise. Interpret the exper coefficient. where Number of obs F(3, 1256) Prob > F R-squared Root MSE |||||||||| = =
Consider the following regression estimates (FN5) Linear regression 1,260 55.69 0.0000 0.0765 4.4842 Robust wage Coef. Std. Err. t P>|t| [95% Conf. Interval] .075917 .0109584 6.93 0.000 .0544182 .0974159 exper union .7327579 .3072295 2.39 0.017 .1300184 1.335498 1.320637 .8588732 1.7824 married _cons .2353709 1804426 5.61 0.000 21.13 0.000 3.812129 3.458127 4.166132 • wage is hourly wage in US$. • Union is a dummy variable which is equal to 1 if the person is member of a labour union and 0 otherwise. • exper is years of work experience. • married is a dummy variable which is equal to 1 if the person is married and 0 otherwise. Interpret the exper coefficient. where Number of obs F(3, 1256) Prob > F R-squared Root MSE |||||||||| = =
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
Related questions
Question
![QUESTION 1
Consider the following regression estimates (FN5)
Linear regression
Number of obs
F(3, 1256)
Prob > F
1,260
55.69
0.0000
R-squared
0.0765
Root MSE
4.4842
Robust
wage
Coef. Std. Err.
t
P>|t|
[95% Conf. Interval]
exper
.0544182
.0974159
.075917 .0109584
.7327579 .3072295
6.93 0.000
2.39 0.017
union
.1300184
1.335498
1.320637
.8588732
married
_cons
.2353709
1804426
5.61 0.000
21.13 0.000
1.7824
4.166132
3.812129
3.458127
·
wage is hourly wage in US$.
• Union is a dummy variable which is equal to 1 if the person is member of a labour union and 0 otherwise.
• exper is years of work experience.
• married is a dummy variable which is equal to 1 if the person is married and 0 otherwise.
Interpret the exper coefficient.
where
|| || || || ||
=](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fea35d65d-c5a4-4815-8933-ba8e9e4a80fc%2F00e2ee3d-16e3-4d44-aa51-df8bbeae1e93%2F013e7is_processed.png&w=3840&q=75)
Transcribed Image Text:QUESTION 1
Consider the following regression estimates (FN5)
Linear regression
Number of obs
F(3, 1256)
Prob > F
1,260
55.69
0.0000
R-squared
0.0765
Root MSE
4.4842
Robust
wage
Coef. Std. Err.
t
P>|t|
[95% Conf. Interval]
exper
.0544182
.0974159
.075917 .0109584
.7327579 .3072295
6.93 0.000
2.39 0.017
union
.1300184
1.335498
1.320637
.8588732
married
_cons
.2353709
1804426
5.61 0.000
21.13 0.000
1.7824
4.166132
3.812129
3.458127
·
wage is hourly wage in US$.
• Union is a dummy variable which is equal to 1 if the person is member of a labour union and 0 otherwise.
• exper is years of work experience.
• married is a dummy variable which is equal to 1 if the person is married and 0 otherwise.
Interpret the exper coefficient.
where
|| || || || ||
=
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