Question

compare and contrast Spearman and Pearson correlations.

Answer 1

Perason Correlation:-

1.Pearson’s coefficient measures the degree of linear association between two quantitative variables.

2.Pearson is most appropriate for measurements taken from an interval scale (temperature, length,etc).

3. Pearson's assumes constant variance and linearity.

4. Pearson is used when data is normally distributed.

5.It takes a value from -1 to +1.

6.In case of perfect correlation pearson takes value +1.

Spearman Correlation:-

1.Spearman's coefficient measures the rank order of the points.

2. Spearman is best for measurements taken from ordinal scales ( eg:- agree/disagree/neutral)

3.If the  variable doesn't have constant variance and linearity; Spearman would be the best to use.

4. Spearman is used when data is nonparametric.

5. takes a value from -1 to +1.

6.In case of perfect correlation spearman take value +1