Updated: Apr 13, 2019
There are different methods to perform correlation analysis:
Pearson correlation (r), which measures a linear dependence between two variables (x and y). It’s also known as a parametric correlation test because it depends to the distribution of the data. It can be used only when x and y are from normal distribution. The plot of y = f(x) is named the linear regression curve.
Kendall tau and Spearman rho, which are rank-based correlation coefficients (non-parametric)
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