How does one check this assumption for logistic regression? We don't need to check linearity of the target against predictor variables, just predictor vars and log odds.
These posts and others talk about the assumption, but I'm not following how to plot or visualize it myself.
From the last link from Reddit, it looks like I would want to fit a simple logictic regresson for each continuious variable that I have, get the prediction in logodds form then plot it against the variable. Do that for every predictor. Have I go that right?
How do we check linearity of independent variables and log odds in R?