MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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![Consider the following regression estimates (FN3)
Linear regression
Robust
income
Coef.
Std. Err.
hours
18.91906 1.481248
_cons
281.4618
34.36264
where income is weekly income in NZ$ and hours is working hours per week.
In this regression, what is the value of n?
Number of obs
F(1, 498)
Prob > F
R-squared
Root MSE
500
163.13
0.0000
0.2880
593.03
[95% Conf. Interval]
16.0088
21.82933
213.9482
348.9754
t P>|t|
12.77 0.000
8.19
0.000
|| || || || ||
=
=
=](https://content.bartleby.com/qna-images/question/909b168f-c772-43f0-b38c-6f8b46c0e487/e5f0f1da-1826-4b71-9d02-4988d723a8f6/9gb7is9_processed.png)
Transcribed Image Text:Consider the following regression estimates (FN3)
Linear regression
Robust
income
Coef.
Std. Err.
hours
18.91906 1.481248
_cons
281.4618
34.36264
where income is weekly income in NZ$ and hours is working hours per week.
In this regression, what is the value of n?
Number of obs
F(1, 498)
Prob > F
R-squared
Root MSE
500
163.13
0.0000
0.2880
593.03
[95% Conf. Interval]
16.0088
21.82933
213.9482
348.9754
t P>|t|
12.77 0.000
8.19
0.000
|| || || || ||
=
=
=
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