Dear all ,

I’m new to the analytics field.

I have a problem in logistic regression , I have a few categorical predictor variables in my data. Should i create dummy variables for the categorical variables (i.e job,month ,education,etc)?

After performing logistic regression on the data set, I inferred that I need to drop few variables (i.e. jobretired , contacttelephone,etc) so that I could get a better model . Please suggest if I’m going in the right direction?