I’m new in ML models and I was trying to predict the outcome of a continuous variable using only categorical variables, but when building the model I was getting very low scores for my model.

These are my categorical variables. Those numbers are in reality categories for each suspension, axle, wheel, etc. and what I’m trying to predict is column “MIN” which is a numeric value (tire to suspension clearance)

Picture of data

Can someone please explain me how to perform linear regression on this problem or if I need to use another type of model / approach? I’m using python language in this case.

Thanks