Two advantages of spearman rank correlation method
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An advantage of the Spearman rank correlation coefficient is that the X and Y values can be continuous or ordinal, and approximate normal distributions for X and Y are not required
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Spearman rank correlation method is used to measure the correlation between variables in a non parametric manner on the basis of data ranks.
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Advantages of Spearman Rank Correlation:
- One important advantage of using Spearman rank correlation coefficient is that both the independent and dependent variables are continuous and/or ordinal which eliminates the effort of converting the variables into normal distribution.
- Spearman correlation method is extremely useful in measuring the correlation between non-linear variables.Hence, if the dependent or independent variables are non linear or the relationship between them is non-linear then Spearman correlation method is usually used.
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