The Spearman's correlation is used to characterize the strength of monotonic relationships, even if they are not linear or they are between ordinal variables.
The Spearman's correlation measures the strength and direction of monotonic association between two variables. Spearman's Rank correlation coefficient is a technique which can be used to summarize the strength and direction of a relationship between two variables. The result will always be between 1 and minus 1.
An advantage of the Spearman rank correlation coefficient is that the X and Y values can be continuous or ordinal, and thus the approximate normal distributions for X and Y are not required.
Hence, the Spearman Coefficient works with monotonic relationships.
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