Consider the following regression estimates (FN5) Linear regression Number of obs 1, 260 F (3, 1256) 55 . 69 Prob > F 0 . 0000 R-squared 0 . 0765 Root MSE = 4. 4842 Robust wage Coef. Std. Err. t P>|t| [95% Conf. Interval] exper . 075917 . 0109584 6.93 0. 000 . 0544182 . 0974159 union . 7327579 . 3072295 2.39 0 . 017 . 1300184 1. 335498 married 1. 320637 . 2353709 5 . 61 0. 000 8588732 1. 7824 _cons 3. 812129 . 1804426 21 . 13 0. 000 3. 458127 4. 166132 where . wage is hourly wage in US$. . Union is a dummy variable which is equal to 1 if the person is member of a labour union and 0 otherwise. exper is years of work experience. . married is a dummy variable which is equal to 1 if the person is married and 0 otherwise. Interpret the exper coefficient