You have a dataset where the relationships between variables are not linear. Which correlation method is better to use and why?
- Covariance
- Kendall's Tau
- Pearson's correlation coefficient
- Spearman's correlation coefficient
For non-linear relationships between variables, Spearman's correlation coefficient would be a better choice. This is because Spearman's correlation measures the monotonic relationship between two variables and does not require the relationship to be linear.
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