# Regression Analysis in the presence of Categorical Variables

For the sake of simplicity, let's say we are trying to estimate the weight of someone and decided that our independent variables are age, height, and gender. After transforming gender into a binary variable and fitting a model, assume that the model is

Age=m1*Weight+m2*Height+m3*Male


I am having difficulty interpreting the meaning of my coefficients. If all my independent variables are continuous, I can say that Age shifts m1 Units for every 1 unit increase in weight if all other variables stay constant, but now in the presence of gender I don't think this is a correct interpretation, so how can I interpret my coefficients? Any help is appreciated.

New contributor
Basil Abu Mallooh is a new contributor to this site. Take care in asking for clarification, commenting, and answering. Check out our Code of Conduct.