interprete the logistic model: ## glm(formula = `Financial Condition` ~ `TotCap/Assets` + `TotExp/Assets` + ## `TotLns&Lses/Assets`, family = binomial, data = bank.df) ## ## Deviance Residuals: ## Min 1Q Median 3Q Max ## -3.267e-05 -2.100e-08 0.000e+00 2.100e-08 3.358e-05 ## ## Coefficients: ## Estimate Std. Error z value Pr(>|z|) ## (Intercept) -686.10 551916.96 -0.001 0.999 ## `TotCap/Assets` -13.71 11273.27 -0.001 0.999 ## `TotExp/Assets` 3353.22 2938727.45 0.001 0.999 ## `TotLns&Lses/Assets` 677.51 624215.61 0.001 0.999 ## ## (Dispersion parameter for binomial family taken to be 1) ## ## Null deviance: 2.7726e+01 on 19 degrees of freedom ## Residual deviance: 2.6647e-09 on 16 degrees of freedom ## AIC: 8