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So far, we’ve been looking mostly at data where we have one measurement per subject, called a univariate data set. But often, we want to look at data sets where we have not one but two quantities, call them X and Y , for each subject, and we are interested in exploring whether there is a relationship between a subject’s X-value and the corresponding Y -value. This is called a bivariate data set.

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Bivariate Data: Correlation and Beyond

  • 章节

  • 发表日期：

    2026年

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  • Alan Garfinkel,
  • Yina Guo

摘要

So far, we’ve been looking mostly at data where we have one measurement per subject, called a univariate data set. But often, we want to look at data sets where we have not one but two quantities, call them X and Y , for each subject, and we are interested in exploring whether there is a relationship between a subject’s X-value and the corresponding Y -value. This is called a bivariate data set.