Karl Pearson, the great biologist and statistician has given a formula for the calculation of correlation. It is popularly known as Pearson’s coefficient of correlation and is widely used in practice. The Pearson’s co-efficient of correlation is denoted by.
The following are the main features of Pearson’s co-efficient of correlation;
1. Knowledge of Direction of Correlation:
Pearson’s co-efficient of correlation gives the knowledge about the direction of relationship whether it is positive or negative.
2. Size of Correlation:
This method also indicates the size of relationship between the variables i.e. correlation ranges between +1 and -1.
3. Meal Measure:
It is an ideal measure of correlation because it is based on most important statistical measures like mean and standard deviation.