?
Welcome!
Share and discuss the best content and new marketing ideas, build your professional profile and become a better marketer together.
This question has been flagged
2
Replies
66
Views
Spearman Rank Correlation measures the strength and direction of the monotonic relationship between two ranked variables. It assesses how well the relationship between two variables can be described using a monotonic function, without assuming a linear relationship or requiring normally distributed data.
Spearman Rank Correlation is particularly useful when the data does not meet the assumptions of Pearson correlation, such as when the relationship between variables is not linear, the data is ordinal, or when the data has outliers that could distort the results of Pearson correlation. It is also effective when analyzing ranked data or non-parametric data.