Discuss the findings and evaluate the models. Summarize the effect of Dist on years of education and any other findings from the analysis. Be sure to discuss the internal validity of the regressions that you used. Include a discussion of possible omitted variable bias, misspecification of the functional form of the regression, errors in variables, sample selection, simultaneous causality, and inconsistency of the OLS standard errors

College Distance Models Dependent variable: ed log(ed) ed Model 1 (Q2) Model 2 (Q3) Model 3 (Q8) Model 4 (Q10) (4) dist -0.073* 0.03)" -0.003" (0.014) (0.012) (OOOD) distz -0.002 (0.001) bytest 01094* 01007*+* 0.093" (0.003) (D.0002) (0 003) female 0.145* 0.144"" (0.051) (0.014) (0 050) black 0368* ++4 0.026 0.372"* (0.071) (0 003) (0 071) hispanic 0.3gg* 0.026 0.386 (0.074) (0.00S) (0 077) incomehi 0.395" 0.027 $44 0.376 (0.061) (0.104) (0 061) ownhome 0.152* 0.010* 0.133* * (D.067) (0.067) dadcoli 0.696" 0 041 0.581 (D.069) (0.DIS) (0 074) momcall 0.027 0.380 (0.010) 101082) 0.023+* 01002* 0.025* (0.010) (0.00]) 10 010) stwmig80 0.052*** 0.003** 0.n4]* (0.020) (0.001) (0 020) -0.014 -0.152 (0 007) 10.100) Constant 13.956 2.260** 8.821" (0.038) (0.250) (0.D18 (0.249) Observations 3.796 3,796 3,796 3,796 R- 0.007 0.279 0.285 0.282 Adjusted R2 0.007 0.277 0.283 0.280 Residual Std, Error 1 807 (of = 3794) 1.542 (df = 3785) 0.109 (df = 3783) 1 539 (df = 3783) F Statistic 28.476 (df = 1; 3794) 146.347 (of = 10; 3785) 125.852 (df = 12; 3783) 124.103 (df = 12; 3783) More. pxD.1; "pc0.05; "p:0.01