Consider the following regression estimates (FN2)Linear regressionNumber of obs1,260F(4, 1255)56.35Prob > F0.0000R-squaredRoot MSE0.11214.3987RobustwageCoef.Std. Err.P>|t|[95% Conf. Interval]belavgabvavg-1.063254.3047845-3.490.001-1.661197-.4653108.0693348.31502020.220.826-.5486894.687359female-2.751963.2820787-9.760.000-3.305-2.198565married.968623626126463.710.000456061.481187_cons6.699098.288983123.180.0006.1321557.266042wherewage 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), andmarried 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).

From the given regression output, the F degrees of freedom is 4, 1255. That is, k=4,n-k-1=1255.

Answered: where • wage in hourly wage in US. •…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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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?