Question: reg wage union educ exper white married married_white Source | SS df MS Number of obs = 4,360 -------------+---------------------------------- F(6, 4353) = 133.46 Model |

reg wage union educ exper white married married_white Source | SS df MS Number of obs = 4,360 -------------+---------------------------------- F(6, 4353) = 133.46 Model | 6944.78162 6 1157.4636 Prob F = 0.0000 Residual | 37753.4724 4,353 8.67297781 R-squared = 0.1554 -------------+---------------------------------- Adj R-squared = 0.1542 Total | 44698.254 4,359 10.254245 Root MSE = 2.945 ------------------------------------------------------------------------------ wage | Coefficient Std. err. t P|t| [95% conf. interval] -------------+---------------------------------------------------------------- union | .8651773 .104526 8.28 0.000 .6602532 1.070101 educ | .6150081 .0277351 22.17 0.000 .5606333 .669383 exper | .2671639 .017689 15.10 0.000 .2324844 .3018433 white | .3582943 .1311087 2.73 0.006 .1012545 .6153342 married | .6801371 .1798608 3.78 0.000 .3275184 1.032756 married_wh~e | -.1353263 .2061649 -0.66 0.512 -.5395146 .2688619 _cons | -3.782895 .3825063 -9.89 0.000 -4.532802 -3.032988 What is the interpretation of Beta hat 1?

reg wage union educ exper white married married_white Source | SS df MS Number of obs = 4,360 F(6, 4353) = 133.46 Model | 6944.78162 6 1157.4636 Prob F = 0.0000 Residual | 37753.4724 4,353 8.67297781 R-squared = 0.1554 Adj R-squared = 0.1542 Total | 44698.254 4,359 10.254245 Root MSE 2.945 wage | Coefficient Std. err. t P|t| [95% conf. interval] union | 8651773 .104526 8.28 0.000 .6602532 1.070101 educ | .6150081 .0277351 22.17 0.000 .5606333 .669383 exper | .2671639 .017689 15.10 0.000 .2324844 .3018433 white | .3582943 .1311087 2.73 0.006 .1012545 .6153342 married | 6801371 .1798608 3.78 0.000 .3275184 1.032756 married_whe | -.1353263 .2061649 -0.66 0.512 -.5395146 .2688619 cons | -3.782895 .3825063 -9.89 0.000 -4.532802 -3.032988 What is the interpretation of Beta hat 1

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