Logit and probit models of regression are specifically used for:
A) nominal variables.
B) interval variables.
C) ratio variables.
D) ordinal variables.
E) any level of variable.

Question

Quizplus · Accepted Answer

Logit and probit models of regression are commonly used in statistical analysis for predicting binary outcomes, which means outcomes with only two possible values such as 0 or 1, “yes” or “no,” and so on. Thus, nominal variables are the ones that fit the criterion.

Logit and Probit Models of Regression Are Specifically Used For