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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?

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?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Consider the following regression estimates (FN2) Linear regression Number of obs 1,260 F(4, 1255) 56.35 Prob > F 0.0000 R-squared Root MSE 0.1121 4.3987 Robust wage Coef. Std. Err. P>|t| [95% Conf. Interval] belavg abvavg -1.063254 .3047845 -3.49 0.001 -1.661197 -.4653108 .0693348 .3150202 0.22 0.826 -.5486894 .687359 female -2.751963 .2820787 -9.76 0.000 -3.305 -2.198565 married .9686236 2612646 3.71 0.000 45606 1.481187 _cons 6.699098 .2889831 23.18 0.000 6.132155 7.266042 where wage 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), and married 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).
Transcribed Image Text:Consider the following regression estimates (FN2) Linear regression Number of obs 1,260 F(4, 1255) 56.35 Prob > F 0.0000 R-squared Root MSE 0.1121 4.3987 Robust wage Coef. Std. Err. P>|t| [95% Conf. Interval] belavg abvavg -1.063254 .3047845 -3.49 0.001 -1.661197 -.4653108 .0693348 .3150202 0.22 0.826 -.5486894 .687359 female -2.751963 .2820787 -9.76 0.000 -3.305 -2.198565 married .9686236 2612646 3.71 0.000 45606 1.481187 _cons 6.699098 .2889831 23.18 0.000 6.132155 7.266042 where wage 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), and married 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).
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