I have two regression models that differ only by one thing: model 1 has one of the explanatory variables linear while model 2 takes the natural logarithm of it.
I would like to know, what are the best practice methods to decide which model is better? I have done 2 checks so far:
- Compare the R-squared values of both models
- Compare the AIC and BIC selection criteria