Σύγκριση μεθόδων

	Ανεξάρτητος δειγματικός t-έλεγχος	Πολυμεταβλητή Πολλαπλή Γραμμική Παλινδρόμηση
Πεδίο	Στατιστική	Στατιστική
Οικογένεια	Hypothesis test	Regression model
Έτος προέλευσης	1908	2007
Δημιουργός	Student (W. S. Gosset)	Johnson & Wichern (textbook treatment); classical multivariate least squares
Τύπος	Parametric mean comparison	Multivariate linear regression
Θεμελιώδης πηγή	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
Εναλλακτικές ονομασίες	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)
Συναφείς	4	5
Σύνοψη	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.