This is post #3 on the subject of linear regression, using R for computational demonstrations and examples. We cover here residuals (or prediction errors) and the RMSE of the prediction line.
The first post in the series is LR01: Correlation.
Acknowledgments: organization is extracted from:
Freedman, Pisani, Purves, Statistics, 4th ed., ... [Read more...]