Question about the way to interpret the multinomial / binomial regression coefficients in case the predictor variables are factorial.


New Member
So, in case the predictor variable is continuous, then it's easy to interpret the coefficient. Let's say the gpa score would work as a predictor and admitted to the university ( Yes or No) would be a response variable. So, if the gpa coefficient is 0.43, then we simply take exp(0.43) = 1.54 and conclude that by every unit increase in gpa score the student is 1.54 more likely to be admitted to the university.

But in case the predictor variable also is logistic. Let's say the predictor variable is the type of educational system the student has been exposed to - Private / public school. Then if the reference level would be public school, how should I interpret the same coefficient 0.43? Any advice is welcome!


Less is more. Stay pure. Stay poor.
Same as continuous, the change between the categories is like a 1 unit increase.

Welcome to the forum.