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Is it always better to have categorical predictor variables when performing a multinomial logistic regression analysis? or can it be done using continuous predictor variables? If a predictor variable should always be categorical, what is the reason behind it?

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Multinomial logistic, like other forms of regression, can deal with any sort of predictor.

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