In my dataset there is a lot of multicollinearity between the independent variables, therefore it is not possible for me to include them all in the same regression (especially because I have a small sample size). However, my supervisor said that if I categorize some of the variables I might be able to use more independent variables in the same regression.
Why is this? Does it affect the degrees of freedom? Or what is the reason?