Multivariate Relationships

Andreas Tilevik
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Andreas Tilevik: University of Skövde

Chapter Chapter 5 in Multivariate Statistics and Machine Learning in R For Beginners, 2025, pp 73-82 from Springer

Abstract: Abstract 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.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-01851-9_5

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DOI: 10.1007/978-3-032-01851-9_5

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