I like this, though I will add when using logistic regression regularly, I also translate results into probabilities very easily. You discuss R^2 regularly but is that really the best measure when you have a binary outcome. In logistic regression, the variance is not as intuitive as calculating the accuracy, what percent of the outcomes are you predicting accurately. I think the R^2 gets stuck in the linear reg person's mind but the c-statistics is the end all measure of interest.