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.

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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
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article

Impossible situations in simple linear regression

David L. Farnsworth
The Mathematical Gazette
Statistical and numerical algorithms
article

Impossible situations in simple linear regression

David L. Farnsworth
article en

Abstract

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.

The Mathematical Gazette
Rochester Institute of Technology (US)
Openalex Percentile: Top 5%
Statistical and numerical algorithms
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Impossible situations in simple linear regression — David L. Farnsworth · The Mathematical Gazette (2026) | TGRS Research Map | TGRS