1. Interpret the coefficient estimate on education for each regression, calculate the predicted wage for a person with 1 year of education. Comment on the result. Do the same for a person with 10 years of education. Comment.
   

. regress wage educ Source SS of MS Number of obs = 526 F (1, 574) 183.36 Model 1179.73264 1 1179.73284 Prob > F iI Residual 5980 . 68225 524 11. 4135158 R-squared 2. 1648 Adj R-squared II B . 1632 Total 7160 . 41429 525 13.6388044 Root NSE 3. 3784 wage Coet. 5td. Err. t [95% Cont. Interval] educ . 5413593 . 053248 10.17 . 4367534 . 6459651 _Cons -. 9848516 . 6849678 -1.32 8. 187 -2.250472 - 4487687 . regress lwage educ Source 55 dr M5 Number of obs II 526 F (1, 524) II 119 . 58 Model 27.5606288 1 27.5606208 Prob s F II 0.0008 Residual 120 .769123 524 . 230475425 R-squared II D . 1858 Adj R-squared 9 . 1843 Total 140 .329751 525 . 20253206 Root MSE = . 40808 lwage Cont. Sto. Err. t (95% Cont. Interval] COUC .0827444 .0675667 10.94 B. ODE 8678796 . 8970891 cons .5837727 . 0973358 6.08 0.090 . 3925563 . 7749891