In which situation is Spearman's Rank Correlation preferable to Pearson's correlation?
- When the data is normally distributed
- When the relationship between variables is non-linear and monotonic
- When the relationship is linear
- When there are no ties in the ranks
Spearman's Rank Correlation is preferable to Pearson's correlation when the relationship between variables is non-linear but monotonic. Pearson's correlation measures linear relationships, while Spearman's can capture non-linear relationships.
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