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رگرسیون خطی ساده×آزمون تی نمونه‌های مستقل×
حوزهآمارآمار
خانوادهRegression modelHypothesis test
سال پیدایش18051908
پدیدآورAdrien-Marie Legendre (least squares, 1805); Francis Galton (regression concept, 1886)Student (W. S. Gosset)
نوعParametric bivariate regressionParametric mean comparison
منبع بنیادینLegendre, 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 ↗
نام‌های دیگرSLR, ordinary least squares regression, OLS regression, bivariate regressionstudent t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
مرتبط74
خلاصهSimple 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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ScholarGateمقایسهٔ روش‌ها: Simple Linear Regression · Independent t-test. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare