To answer your question about the residual plot, I would need to visualize the graph you are referring to. However, since I can't see images, I can guide you in a general way.
In a residual plot, points that are above the residual=0 line indicate that the predicted values (from your model) are less than the actual values (observed values), which means your model underestimates these points. Conversely, points below the residual=0 line indicate that the predicted values are greater than the actual values, which means your model overestimates these points.
To determine how many points would be below the residual=0 line, you would typically:
- Examine how many data points lie below the horizontal line representing residual=0 on your residual plot.
- Count those points to find your answer.
If you can describe the plot or share the numbers of the data points you see, I may be able to help you with a more specific answer.