Question

What types of predictor variables are acceptable to use in a logistic regression model?

Only quantitative predictor variables are acceptable to use as predictor variables in logistic regression models

Only dummy variables are acceptable to use as predictor variables in logistic regression models

Both quantitative and dummy variables are acceptable to use as predictor variables in logistic regression models

Answer 1

Categorical predictors with k categories are represented as k or k-1 numeric variables coding the different categories. The dependent variable must be numeric. If the response is binary (categorical with two levels), it is convenient to code the categories as 0 and 1, so the model will be about the proprotion of the response categories. This is used by logistic regression models. If the response have more than two levels, multinominal logistic models are used, and if the categories are ordered, the best tool is an ordered logistic regression.

Q. What types of predictor variables are acceptable to use in a logistic regression model?

A:- Both quantitative and dummy variables are acceptable to use as predictor variables in logistic regression models.