So I have a dataset where my two dependent variables are 1) underwent surgery (900 patients) and 2) background population (2700 people), then I want to compare their household income with logistic regression in my univariate analysis, to see if there is any difference. But I can't really figure out which way would be the best to do it. I have made quintiles to show how their income is distributed (mean, median, max, min) - should I use mean in each quintile to compare them?
Tried to figure out what others studies do and why they do it, but it seems like it's very different.