השוואת שיטות

	מבחן t למדגמים בלתי תלויים	רגרסיה לינארית מרובת משתנים
תחום	סטטיסטיקה	סטטיסטיקה
משפחה	Hypothesis test	Regression model
שנת המקור	1908	2007
הוגה השיטה	Student (W. S. Gosset)	Johnson & Wichern (textbook treatment); classical multivariate least squares
סוג	Parametric mean comparison	Multivariate linear regression
מקור מכונן	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
כינויים	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)
קשורות	4	5
תקציר	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.