. Given the results below, which model do you believe is the best model? Explain your reasoning. For your chosen best model, interpret the coefficient on "logfaminc" For your chosen best model, interpret the coefficient on "age" For your chosen best model, interpret the coefficient on "male". Is this coefficient significantly different than zero? Explain your reasoning. Please remember that when we use a log transformation, we are taking the natural log. Var Name: Variable Description rent: monthly rent, $ famins: total family income, $ age: age of respondent, years male: dummy, 1 if respondent is male urban: dummy, 1 if live in urban area opinfut: dummy, 1 if optimistic about future married: dummy, 1 if currently married neverm: dummy, 1 if never married Dependent variable: Jogsent (1) (3) Jogfamins 0.455 (0.016) p = 0.000 educ 0.457 (0.016) p = 0.000 -0.001 (0.001) p = 0.478 -0.002 (0.001) p = 0.033 -0.052 (0.028) p = 0.070 0.102 (0.032) p -0.002 0.460 (0.016) p = 0.000 -0.001 (0.001) p = 0.495 -0.001 (0.001) p = 0.222 -0.056 (0.029) p = 0.051 age male -0.002 (0.001) p = 0.035 -0.052 (0.028) P - 0.066 0.102 (0.032) p = 0.002 married 0.131 (0.036) p = 0.0003 0.056 (0.031) p = 0.070 never orinfut 0.035 (0.031) p = 0.267 1.795 (0.183) p 0.000 Constant 1.730 1.822 (0.181) p = 0.000 (0.188) p = 0.000 R2 AIC BIC Residual Std. Error F Statistic 0.407 0.408 0.411 2033.1 2031.8 2006.2 2070.5 2074.6 2043.51 0.466 (df - 1538) 0.466 (df - 1537) 0.465 (df - 1525) 211.260*** (df = 5; 1538) 176. 860*** (df = 6; 1537) 212. 630*** (df = 5; 1525) *p