i have a binary predictor with many response variables. the binary predictor was originally continuous but was converted to binary.... if the response was >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. i have also thought of splitting the response to more categories...anyone have any ideas? thanks
multinomial logistic regression, weighted logistic regression?
stats_noob
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