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kjetil b halvorsen
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multinomial Multinomial logistic regression, weighted logistic regression?

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

multinomial logistic regression, weighted logistic regression?

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?

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?

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stats_noob
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multinomial logistic regression, weighted logistic regression?

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