ABSTRACT
A correlation coefficient is a single number that describes the degree to which the two variables show a relationship, typically by seeing if a value change in one variable results in a value change in the other variable that suggests they influence one another. The most widely used coefficient is the Pearson product-moment correlation coefficient, whose symbol is r. The Pearson r measures the degree of linear correlation between two variables. To represent correlation in terms of percentages, values of Pearson r need to be converted to another statistic called the coefficient of determination, whose symbol is r2, which indicates how to compute it: simply square r. those who have high employment test scores have high supervisors' ratings, and those who have low test scores have low supervisors' ratings. This illustrates what is meant by a direct relationship. In an inverse relationship, those who are high on one variable are low on the other.
