השוואת שיטות

	רגרסיה לינארית פשוטה	ניתוח שונות חד-כיווני
תחום	סטטיסטיקה	סטטיסטיקה
משפחה	Regression model	Hypothesis test
שנת המקור	1805	1925
הוגה השיטה	Adrien-Marie Legendre (least squares, 1805); Francis Galton (regression concept, 1886)	Ronald A. Fisher
סוג	Parametric bivariate regression	Parametric mean comparison
מקור מכונן	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]	Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.
כינויים	SLR, ordinary least squares regression, OLS regression, bivariate regression	one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
קשורות	7	4
תקציר	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.