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単回帰分析×一元配置分散分析×
分野統計学統計学
系統Regression modelHypothesis test
提唱年18051925
提唱者Adrien-Marie Legendre (least squares, 1805); Francis Galton (regression concept, 1886)Ronald A. Fisher
種類Parametric bivariate regressionParametric mean comparison
原典Legendre, A. M. (1805). Nouvelles méthodes pour la détermination des orbites des comètes. Firmin Didot, Paris. [Appendix: Sur la méthode des moindres quarrés, pp. 72–80] link ↗Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
別名SLR, ordinary least squares regression, OLS regression, bivariate regressionone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
関連74
概要Simple linear regression is the foundational parametric method for modelling a straight-line relationship between one continuous predictor and one continuous outcome, estimating the slope and intercept by ordinary least squares (OLS). The least squares principle was first published by Adrien-Marie Legendre in 1805, and Francis Galton introduced the concept of regression to the mean in 1886, coining the term that names the entire family of methods.One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.
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ScholarGate手法を比較: Simple Linear Regression · One-way ANOVA. 2026-06-17に以下より取得 https://scholargate.app/ja/compare