A simple algebraic derivation of the equation for a line of best fit

Abstract We present a simple algebraic derivation of the equation for a line of best fit. Unlike conventional derivations, which require multi-variable calculus, our argument relies on elementary algebra alone, and avoids more advanced notation (such as the sigma summation symbol) by exploiting routine data averages. In this way, our approach demystifies the process of computing a linear regression, and is likely to be of interest to students and instructors alike. We illustrate the main results with a worked example taken from an introductory physics context.

Authors

Publication Details

Journal
Physics Education
Published
2024-12-03
DOI
https://doi.org/10.1088/1361-6552/ad9215
Primary Topic
Experimental and Theoretical Physics Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A simple algebraic derivation of the equation for a line of best fit

J. J. Bissell
Physics Education
Experimental and Theoretical Physics Studies
article

A simple algebraic derivation of the equation for a line of best fit

J. J. Bissell
article en

Abstract

Abstract We present a simple algebraic derivation of the equation for a line of best fit. Unlike conventional derivations, which require multi-variable calculus, our argument relies on elementary algebra alone, and avoids more advanced notation (such as the sigma summation symbol) by exploiting routine data averages. In this way, our approach demystifies the process of computing a linear regression, and is likely to be of interest to students and instructors alike. We illustrate the main results with a worked example taken from an introductory physics context.

Physics EducationVol. 60(1)
Quality Education
Openalex Percentile: Top 79%
Experimental and Theoretical Physics Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A simple algebraic derivation of the equation for a line of best fit — J. J. Bissell · Physics Education (2024) | TGRS Research Map | TGRS