Multivariate regression is a statistical technique that extends multiple regression by allowing for the analysis of multiple dependent variables simultaneously. It is commonly used to model and analyze the relationship between several predictor variables and multiple outcome variables, offering insights into how these variables collectively influence different aspects of a phenomenon.
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