Krahasoni metodat

	Test t për mostra të pavarura	Regresioni Linear Shumëfish Shumëvariatësh
Fusha	Statistikë	Statistikë
Familja	Hypothesis test	Regression model
Viti i origjinës	1908	2007
Krijuesi	Student (W. S. Gosset)	Johnson & Wichern (textbook treatment); classical multivariate least squares
Lloji	Parametric mean comparison	Multivariate linear regression
Burimi themelues	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.	Johnson, R. A. & Wichern, D. W. (2007). Applied Multivariate Statistical Analysis (6th ed.). Pearson. ISBN: 978-0131877153
Emërtime të tjera	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi	multivariate multiple regression, MLR with multiple dependent variables, multiple-outcome regression, Çok Değişkenli Regresyon (MLR — Çoklu DV)
Të lidhura	4	5
Përmbledhja	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.	Multivariate regression is a linear regression method that predicts several continuous dependent variables at the same time from a shared set of predictors. As developed in standard treatments such as Johnson and Wichern's Applied Multivariate Statistical Analysis (2007), each response equation can be fitted by ordinary least squares while the covariance structure of the residuals is used for joint testing across outcomes.