While using regression imputation, you encounter a situation where the predicted value for the missing data is outside the expected range. How might you resolve this issue?

When the predicted value for missing data is outside the expected range, you might want to constrain the predictions within the expected range. By setting logical bounds, you can make sure that the imputed values are consistent with the known characteristics of the data.