iI have a binary predictor with many response variables. the The binary predictor was originally continuous but was converted to binary. ... if the response was >1000$>1000$ then 1, else 0. I would like to have a model in which responses of greater magnitude are more likely be to 1 vs responses of lesser magnitude. iI have also thought of splitting the response to more categories ...anyone anyone have any ideas? thanks