Impossible situations in simple linear regression
The following surprising fact is shown: if a new observation is not on the regression line for the original observations, then that observation cannot be on the regression line for the augmented set of observations. Other unexpected constraints on the outcome of adding an observation are presented. These can be useful for checking our own and others’ work. Also, they supply constraints on what might be achieved by the addition of one new data point.
Authors
- David L. Farnsworth (ORCID: https://orcid.org/0000-0003-0251-8770)
Institutions
- Rochester Institute of Technology (US)
Publication Details
- Journal
- The Mathematical Gazette
- Published
- 2026-08-13
- DOI
- https://doi.org/10.1080/00255572.2026.2707201
- Primary Topic
- Statistical and numerical algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00