Influence of a data point in simple linear regression
This app demonstrates the potential influence of a single data point on a simple linear regression model.
The figure shows that the influence of a single data point can have a significant effect on the model predictions.
Firstly, try comparing the influence of adding Point A and Point B
Point A. (Influential)
Point B. (Not influential)
Secondly, play with the properties of the data to see how they impact the influence of Point A and Point B:
Number of points:
Noise in Y:
Finally, see how the addition of Point A and Point B is reflected in regression diagnostic plots:
Influence in hydrological modeling