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| Regressione Lineare Semplice× | Analisi della Varianza a una Via× | |
|---|---|---|
| Campo | Statistica | Statistica |
| Famiglia≠ | Regression model | Hypothesis test |
| Anno di origine≠ | 1805 | 1925 |
| Ideatore≠ | Adrien-Marie Legendre (least squares, 1805); Francis Galton (regression concept, 1886) | Ronald A. Fisher |
| Tipo≠ | Parametric bivariate regression | Parametric mean comparison |
| Fonte seminale≠ | 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 ↗ |
| Alias≠ | SLR, ordinary least squares regression, OLS regression, bivariate regression | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| Correlati≠ | 7 | 4 |
| Sintesi≠ | 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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