Undergrad Correlation Coefficient Clarification

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The correlation coefficient between two variables X and Y remains unchanged if the variables are swapped, meaning the correlation coefficient for X and Y is identical to that for Y and X. This is due to the symmetric nature of the correlation coefficient formula, which involves the expected values of X and Y. The mathematical representation confirms that the correlation is not affected by the order of the variables. Understanding this symmetry is crucial for correctly interpreting correlation in statistical analysis. Thus, the correlation coefficient is a reliable measure regardless of variable arrangement.
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Let's say that the correlation coefficient between X and Y were swapped so that the correlation coefficient between Y and X. If we were to compared the correlation coefficient between X and Y and Y and X. Based on my understanding of correlation coefficient, it doesn't matter if f X and Y were swapped. The correlation coefficient for both X and Y and Y and X would be the same.
 
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That is correct. Correlation coefficient between the two is defined as
$$\frac{E[\ (X-E[X])(Y-E[Y])]\ }{\sqrt{E[(X-E(X))^2]E[(Y-E[Y])^2]}}$$
As you can see, this formula is symmetric between X and Y.
 
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