Consider the following regression estimates (FN2) Linear regression Number of obs = 1, 260 F (4, 1255) 56.35 Prob > F E 0 . 0000 R-squared = 0 . 1121 Root MSE = 4. 3987 Robust wage Coef. Std. Err. t P> |t| [95% Conf. Interval] belavg -1. 063254 . 3047845 -3. 49 0. 001 -1. 661197 -. 4653108 abvavg . 0693348 . 3150202 0. 22 0 . 826 -. 5486894 . 687359 female -2. 751963 . 2820787 -9.76 0 . 000 -3.305361 -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 US$, belavg is a dummy variable (1 if below average looking, 0 otherwise), . . abvavg is a dummy variable (1 if above average looking, 0 otherwise), and . married is a dummy variable (1 if married, 0 otherwise). What is the value of k in this regression