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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.

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Correspondence to Kohei Adachi .

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Adachi, K. (2020). Inter-variable Statistics. In: Matrix-Based Introduction to Multivariate Data Analysis. Springer, Singapore. https://doi.org/10.1007/978-981-15-4103-2_3

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