Discuss the findings and evaluate the models. Summarize the effect of Dist on years of education and any other findings from the analysis.

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