1. What happens when we change the dependent variable to wage2? Discuss why this changes.
2. Discuss the difference between regressing wage3=b_educ3 compared to wage3=b_educ.

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 wagel 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 . 168regress wage 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 . 68225 524 11. 4135158 R-squared 0 . 1648 Adj R-squared = 0. 1632 Total 7160 . 41429 525 13 . 6388844 Root MSE 3. 3784 wage Coef. Std. Err. t P>|t| [95% Conf. Interval] educ . 5413593 . 053248 10.17 0. 000 . 4367534 . 6459651 _Cons -. 9048516 . 6849678 -1. 32 0. 187 -2. 250472 . 4407687regress wagel educ Source SS d f MS Number of obs = 526 F (1, 524) = 103.36 Model 1179. 73204 1 1179.73204 Prob > F = 9 . 0900 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 [95% Conf. Interval] educ . 5413593 . 053248 10.17 0 .00 . 4367534 . 6459651 _Cons 1. 095148 . 6849678 1. 60 0 . 110 -. 250472 2. 440769regress wage3 educ Source SS df MS Number of obs = 526 F (1, 524) = 0. 09 Model 243. 579505 1 243.579505 Prob > F 0.7634 Residual 1407450 . 94 524 2685.97507 R-squared 0 . 0002 Adj R-squared -0. 0017 Total 1407694.52 525 2681.32289 Root MSE = 51 . 826 wage3 Coef. Std. Err. t P> t| [95% Conf. Interval] educ . 2459882 . 8168548 0.30 0.763 -1. 358724 1. 850701 Cons 4. 426384 10.50779 0 . 42 0 . 674 -16. 21619 25 . 06896