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This chapter introduces the covariance and correlation matrices, which provide insights into the relationships between numeric variables in multivariate datasets. Understanding these measures is essential for detecting associations among multiple variables and for learning multivariate statistical methods. To simplify the interpretation of correlations in large datasets, this chapter also demonstrates how to sort and visualize correlation coefficients from large correlation matrices.

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Multivariate Relationships

  • 章节

  • 发表日期：

    2025年

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  • Andreas Tilevik

摘要

This chapter introduces the covariance and correlation matrices, which provide insights into the relationships between numeric variables in multivariate datasets. Understanding these measures is essential for detecting associations among multiple variables and for learning multivariate statistical methods. To simplify the interpretation of correlations in large datasets, this chapter also demonstrates how to sort and visualize correlation coefficients from large correlation matrices.