Abstract
In the previous chapter, we described the two statistics, average and variance , which summarize the distribution of scores within a variable. In this chapter, we introduce covariance and the correlation coefficient , which are the inter-variable statistics indicating the relationships between two variables. Finally, the rank of a matrix , an important notion in linear algebra, is introduced.
The original version of this chapter was revised: Belated corrections have been incorporated. The erratum to this chapter is available at https://doi.org/10.1007/978-981-10-2341-5_17
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© 2016 Springer Nature Singapore Pte Ltd.
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Adachi, K. (2016). Inter-variable Statistics. In: Matrix-Based Introduction to Multivariate Data Analysis. Springer, Singapore. https://doi.org/10.1007/978-981-10-2341-5_3
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DOI: https://doi.org/10.1007/978-981-10-2341-5_3
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-10-2341-5
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