Abstract
In Chap. 1, Pearson’s correlation coefficient, as a means to describe a linear association between two continuous measures, was introduced. In this chapter, the inference of the correlation coefficient using sample data will be discussed first, and then the discussion will extend to a related method and its inference to examine a linear association of the continuous and binary outcomes with one or more variables using sample data.
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Lee, H. (2023). Inference of Correlation and Regression. In: Foundations of Applied Statistical Methods. Springer, Cham. https://doi.org/10.1007/978-3-031-42296-6_5
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DOI: https://doi.org/10.1007/978-3-031-42296-6_5
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