I have two models of logistic regression with the same variables
in the first model I got:
Residual deviance: 61.097 on 73 degrees of freedom AIC: 79.097
in the second model, I added interaction between some of the variables from the first model and got:
Residual deviance: 63.542 on 75 degrees of freedom AIC: 77.542
so based on the AIC, the second model is better, but how can I explain the Residual deviance?