Question
What is Karl Pearson's coefficient of correlation? State its properties.

Answer

Karl Pearson's coefficient of correlation, denoted by rk, measures the degree and direction of relationship between two variables. It is calculated as :$\text{r}_\text{k}=\frac{\Sigma\text{xy}}{\text{N}.\sigma_\text{x}.\sigma_\text{y}} \ \text{or}\ \frac{\Sigma\text{xy}}{\sqrt{\Sigma\text{x}^2}\sqrt{\Sigma\text{y}^2}}$
$\text{r}_\text{k}=\frac{\Sigma(\text{X}-\overline{\text{X}})(\text{Y}-\overline{\text{Y}})}{\sqrt{\Sigma(\text{X}-\overline{\text{X}})^2}\sqrt{\Sigma(\text{Y}-\overline{\text{Y}})^2}}$
$\text{where, x}=\text{X}-\overline{\text{X}},\text{y}=\text{Y}-\overline{\text{Y}}$
Properties of Karl Pearson's coefficient of correlation:
  1. The value of correlation coefficient lies between -1 and +1. Symbolically, -1
  2. Correlation coefficient is independent of the change of origin and scale, i.e., the value of ‘r, 'is unaffected by the change of origin and scale.
  3. If r = 0, the two variables are not related. There is no linear relationship between them. They are independent.

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