Call: balance + student + income, family = "binomial", glm(formula = default data = data) Deviance Residuals: Min 10 Med

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Call Balance Student Income Family Binomial Glm Formula Default Data Data Deviance Residuals Min 10 Med 1 (262.21 KiB) Viewed 91 times

Can someone please interpret this model for me, please include null and residual deviance and coefficients and others
Thank you
Call: balance + student + income, family = "binomial", glm(formula = default data = data) Deviance Residuals: Min 10 Median 30 Max -2.4691 -0.1418 -@.@557 [email protected] 3.7383 Coefficients: Estimate Std. Error z value Pr(>1z) (Intercept) -1.087e+01 4.92Be-01 -22.080 < 2e-16 *** balance 5.737e-e3 2.319e-04 24.738 < 2e - 16 *** -6.468e-1 studentYes 2.363e-01 -2.738 0.00619 ** 3.033e-26 income 8.203e-06 0.370 0.71152 1 1 0.1 **: 0.01 *! 0.05 ****' 0.001 Signif. codes: (Dispersion parameter for binomial family taken to be 1) Null deviance: 2920.6 on 9999 degrees of freedom degrees of freedom on 9996 Residual deviance: 1571.5 AIC: 1795