Consider the following regression estimates (FNB) Linear regression Robust income Coef. Std. Err. hours _cons 18.91906 1.481248 281.4618 34.36264 where income is weekly income in NZS and hours is working hours per week. Number of obs F(1, 498) Prob > F R-squared Root MSE t P>|t| 12.77 0.000 8.19 0.000 500 163.13 = 0.0000 = 0.2880 = 593.03 [95% Conf. Interval] 16.0088 21.82933 213.9482 348.9754
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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
|| || || || ||
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=
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