Course 7 Multivariate Analysis

Multivariate analysis is a powerful statistical tool used to simultaneously understand complex relationships among multiple variables. Unlike univariate analysis, which focuses on single-variable data, multivariate techniques allow for exploring intricate dependencies and patterns in datasets containing multiple variables. These methods are essential in various fields, such as psychology, economics, biology, and social sciences, where researchers aim to uncover the interactions between multiple factors. By employing techniques such as principal component analysis (PCA), factor analysis, and multivariate regression, multivariate analysis provides deeper insights into data, enabling better decision-making, prediction, and hypothesis testing in the face of complexity.

https://zh.wikipedia.org/wiki/Category:%E5%A4%9A%E8%AE%8A%E9%87%8F%E7%B5%B1%E8%A8%88 https://en.wikipedia.org/wiki/Category:Multivariate_statistics https://en.wikipedia.org/wiki/Multivariate_statistics