Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Régression linéaire simple× | Test t pour échantillons indépendants× | |
|---|---|---|
| Domaine | Statistique | Statistique |
| Famille≠ | Regression model | Hypothesis test |
| Année d'origine≠ | 1805 | 1908 |
| Auteur d'origine≠ | Adrien-Marie Legendre (least squares, 1805); Francis Galton (regression concept, 1886) | Student (W. S. Gosset) |
| Type≠ | Parametric bivariate regression | Parametric mean comparison |
| Source fondatrice≠ | 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 ↗ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ |
| Alias≠ | SLR, ordinary least squares regression, OLS regression, bivariate regression | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi |
| Apparentées≠ | 7 | 4 |
| Résumé≠ | 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. | The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances. |
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