Multivariate regression involves multiple dependent variables being predicted simultaneously from one or more independent variables, allowing for the analysis of relationships between multiple outcomes. In contrast, multiple regression (often referred to as multiple linear regression) focuses on predicting a single dependent variable from multiple independent variables. Essentially, the key difference lies in the number of dependent variables being analyzed: multivariate involves two or more, while multiple regression involves just one.
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