I am interested in assessing possible uncertainty in enumerated data.
To do this, I randomly pick 80% of the enumerated data to predict the remaining 20% through a regression analysis. I reapeat the process 1000 times. Ideally, this should allow me to assess uncertainty affecting explanatory and predictive performances in a regression context.
Is that correct?