▸Residual = 4.0000 (positive: the model under-predicted)
- A positive residual means the observed value is higher than predicted: the model falls short here.
- A negative residual means the observed value is lower than predicted: the model overshoots.
- A residual of zero is a perfect prediction for that point.
- Residuals should be randomly scattered around zero in a well-fitted model.
Next stepTo assess model quality, collect all residuals and check whether they are randomly distributed with no pattern.