

The greater the absolute value, the stronger the relationship tends to be. It is an important formula that tells the user the strength and the direction of a linear relationship between variable x and y.Correlation is very important in Psychology and Education as a measure of the relationship between test scores and other performance measures.Correlation empowers the researcher to detect the unethically occurring variables to test experimentally.


For example, the law of demand, quantity, and supply. Negative Correlation – There is said to exist a negative correlation between two variables when the variable change in the opposite direction.Positive Correlation – A positive correlation exists between two variables when they are said to move in the same direction.Cov(rx, ry) = Covariance of return X and Covariance of return of YĬorrelation is based on the cause of effect relationship, and there are three kinds of correlation in the study, which is widely used and practiced.ρxy = Correlation between two variables.Deviation of asset 1 and a Standard Deviation of asset 2.
