Correlation measures the strength and direction of the linear relationship between two variables.
The formula for the correlation coefficient (Pearson’s r) is:
r = \frac{\sum (x_i – \bar{x})(y_i – \bar{y})}{\sqrt{\sum (x_i – \bar{x})^2 \sum (y_i – \bar{y})^2}}Where:
- (x_i) and (y_i) are the individual sample points.
- (\bar{x}) and (\bar{y}) are the means of the (x) and (y) samples, respectively.