Question: How would you interpret the estimated coefficient on selfemp and the coefficient of familysz reg insured selfemp c. age##c . age male married familysz i.

How would you interpret the estimated coefficient on selfemp and the coefficient of familysz

How would you interpret the estimated coefficient on selfemp and the coefficient

reg insured selfemp c. age##c . age male married familysz i. degree Source d f MS Number of obs 8, 135 Model F (10, 8124) 190. 39584 136 .56 10 19 . 039584 Prob > F 11 Residual 1132 . 64485 0. 0900 8 , 124 . 139419602 R-squared 0 . 1439 Adj R-squared 11 11 11 Total 8 . 1429 1323 . 04069 8, 134 - 162655605 Root MSE - 37339 insured Coefficient Std. err. + P> It1 [95% conf. interval] selfemp . 1782116 - 0129394 -13 . 77 0. 0 00 -. 2035761 -. 152847 age . 0088347 . 0026192 3.37 0.001 . 8037004 . 013969 c . age#c . age - - 0000638 - 0000327 -1. 96 0 . 051 -. 0001279 1 . 61e-07 male -. 0389909 - 0083698 -4. 66 0 . 060 -. 0553979 - . 0225839 married - 1436684 - 0097265 14.77 0. 60 0 - 1246019 . 1627349 familysz - - 0190717 - 0028969 -6 . 58 8 . 060 - . 0247503 - . 0133931 degree HS diploma . 2511735 - 0125926 19.95 0 . 000 - 2264887 - 2758582 Bachelor's degree - 3213096 - 0150501 21 . 35 0. 000 - 2918077 - 3508116 Master's degree - 3412399 . 0201489 16.94 0 . 000 . 3017429 . 380737 Ph . D. - 3675645 . 0342809 10.72 0. 000 . 3003652 - 4347638 _cons 3322921 - 0501476 6 . 63 0. 000 2339899 . 4305943

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