Gary G. Koch
Abstract
The structure of the variance of linear functions of two variables is used to show that the correlation coefficient lies in the range [-1, 1]. It also allows the role of the correlation coefficient in linear regression to be described.
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The structure of the variance of linear functions of two variables is used to show that the correlation coefficient lies in the range [-1, 1]. It also allows the role of the correlation coefficient in linear regression to be described.
Key concepts: Correlation coefficient, Linear regression, Mathematics, Fisher transformation, Range (aeronautics), Correlation, Statistics, Correlation ratio