Question

Spearman rank correlation advantages disadvantages

Answer 1

The Spearman rank correlation coefficient is only to be used to describe the relationship between linear data.​ Also, it can be used for data at the ordinal level and it is easier to calculate by hand than the Pearson correlation coefficient.

The Spearman rank correlation coefficient is only to be used to describe the relationship between nonlinear data.​ Also, it can be used for data at the ordinal level and it is easier to calculate by hand than the Pearson correlation coefficient.

The Spearman rank correlation coefficient can be used to describe the relationship between linear or nonlinear data.​ Also, it can be used for data at the ordinal level and it is easier to calculate by hand than the Pearson correlation coefficient.

Answer 2

The Spearman rank correlation coefficient is only to be used to describe the relationship between linear data.​ Also, it can be used for data at the ordinal level and it is easier to calculate by hand than the Pearson correlation coefficient.

The Spearman rank correlation coefficient is only to be used to describe the relationship between nonlinear data.​ Also, it can be used for data at the ordinal level and it is easier to calculate by hand than the Pearson correlation coefficient.

The Spearman rank correlation coefficient can be used to describe the relationship between linear or nonlinear data.​ Also, it can be used for data at the ordinal level and it is easier to calculate by hand than the Pearson correlation coefficient.