Which model to use to handle multiple levels(10-12) in many categorical independent variables and a continuous dependent variable?

by Arpit Sisodia   Last Updated August 24, 2018 05:19 AM

I have a continuous dependent variable. 5 categorical independent variable with 7-12 levels in each. Converting into dummy variables and using regression doesn't sound good as there will be so many variables. Which analytical methods can be used here ?

Answers 1

ANOVA is recommended when you have a continuous dependent variable, and a categorical independent variable.

Logistic regression could be used if you convert the dependent variable into a categorical one.

August 24, 2018 04:54 AM

Related Questions