Logistic regression is used when you want to: Predict a dichotomous variable from continuous or dichotomous variables Predict a continuous variable from dichotomous variable Predict any categorical variable form several other categorical variables Predict a continuous variable from dichotomous or continuous variables
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It is used when the dependent variable is categorical (dichotomous) and the independent variables can be continuous, categorical, or both. So, logistic regression is used when you want to: Predict a dichotomous variable from continuous and/or dichotomous Show more…
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