- Used when a higher degree of accuracy is required than Spearman's.
- This is a parametric test so the data has to be normally distributed.
- Actual values (not ranked data) are used therefore a regression line can be calculated and poltted to show the exact relationship between the two sets of variables. This is more accurate than drawing a "best fit line" on a scattergraph, which is the best you can do with Spearman's.
- If the data is large, Pearson's can be difficult to work with and the likelihood of human error is greater. In that case Spearman's is probably best used.
Pearson's Product Moment Correlation Co-efficient
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