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:

Random Seed:

Finally, see how the addition of Point A and Point B is reflected in regression diagnostic plots:

Show diagnostics

David Wright Influence in hydrological modeling waterdecisions.org