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:

  1. Compare the R-squared values of both models
  2. Compare the AIC and BIC selection criteria

Thank you!


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