Discuss how wage1, wage2 and wage3 differ from wage.

. regress wagel educ Source SS df MS Number of obs = 526 F (1, 524) 103.36 Model 1179 . 73204 1 1179.73204 Prob > F 0. 0000 Residual 5980 . 68228 524 11. 4135158 R-squared 0. 1648 Adj R-squared 0. 1632 Total 7160.41433 525 13. 6388844 Root MSE 3.3784 wage1 Coef. Std. Err. t P>It| [95% Conf. Interval] educ . 5413593 . 053248 10.17 0.000 . 4367534 . 6459651 _cons 1. 095148 . 6849678 1. 60 0. 110 -. 250472 2. 440769. regress wage2 educ Source SS df MS Number of obs 526 F (1, 524) 99. 21 Model 1223.57077 1 1223.57077 Prob > F 0.0000 Residual 6462 . 29408 524 12.3326223 R-squared 0 . 1592 Adj R-squared 0. 1576 Total 7685 . 86486 525 14.6397426 Root MSE 3. 5118 wage2 Coef. Std. Err. t [95% Conf. Interval] educ . 5513259 . 0553505 9.96 0.000 . 4425898 . 6600621 -Cons -. 9954929 . 7120134 -1. 40 0. 163 -2. 394244 . 4032585. summarize error2 error3 wage wagel wage2 wage3 educ3 Variable Obs Mean Std. Dev. Min Max error2 526 . 0345676 1. 030142 -2. 69948 3. 366794 error3 526 1. 620567 51. 46417 -169. 4439 141 . 168 wage 526 5. 896103 3. 693086 . 53 24.98 wage1 526 7.896103 3. 693086 2.53 26.98 wage2 526 5. 93067 3. 826192 . 0253522 24.59941 wage3 526 7.516669 51. 78149 -166.5239 153 . 558 educ3 526 14. 1833 51. 49465 -160.4439 155 . 168