Salīdzināt metodes

	Vienkāršā lineārā regresija	Neatkarīgo paraugu t-tests
Nozare	Statistika	Statistika
Saime	Regression model	Hypothesis test
Izcelsmes gads	1805	1908
Autors	Adrien-Marie Legendre (least squares, 1805); Francis Galton (regression concept, 1886)	Student (W. S. Gosset)
Tips	Parametric bivariate regression	Parametric mean comparison
Pirmavots	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]	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
Citi nosaukumi	SLR, ordinary least squares regression, OLS regression, bivariate regression	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
Saistītās	7	4
Kopsavilkums	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.