Consider the following regression estimates (FN4) Linear regression Number of obs 29,471 318.65 F(1, 29469) Prob > F 0.0000 R-squared 0.0108 Root MSE = 801.34 Robust income Coef. Std. Err. t P>|t| [95% Conf. Interval] female -167.6086 -186.0124 -149.2047 9.389494 -17.85 0.000 60.38 0.000 _cons 946.3256 15.67369 915.6045 977.0468 where income is weekly income in NZ$, female is equal to 1 if the person if female and 0 if the person is male. What is the average income of all males in this regression? Please only state the number. Do not use the $ sign in your answer. || || || || || = =

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QUESTION 44
Consider the following regression estimates (FN4)
Linear regression
29,471
318.65
0.0000
0.0108
=
801.34
Robust
income
Coef.
Std. Err.
t P>|t|
[95% Conf. Interval]
female
-167.6086
9.389494
-186.0124
-149.2047
-17.85 0.000
60.38 0.000
_cons
946.3256
15.67369
915.6045
977.0468
where income is weekly income in NZ$, female is equal to 1 if the person if female and 0 if the person is male.
What is the average income of all males in this regression?
Please only state the number. Do not use the $ sign in your answer.
Number of obs
F(1, 29469)
Prob > F
R-squared
Root MSE
|| || || || ||
=
=
=
Transcribed Image Text:QUESTION 44 Consider the following regression estimates (FN4) Linear regression 29,471 318.65 0.0000 0.0108 = 801.34 Robust income Coef. Std. Err. t P>|t| [95% Conf. Interval] female -167.6086 9.389494 -186.0124 -149.2047 -17.85 0.000 60.38 0.000 _cons 946.3256 15.67369 915.6045 977.0468 where income is weekly income in NZ$, female is equal to 1 if the person if female and 0 if the person is male. What is the average income of all males in this regression? Please only state the number. Do not use the $ sign in your answer. Number of obs F(1, 29469) Prob > F R-squared Root MSE || || || || || = = =
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