AP PSYCHOLOGY

Detailed explanation-1: -The correlation coefficient is measured on a scale that varies from + 1 through 0 to – 1. Complete correlation between two variables is expressed by either + 1 or-1. When one variable increases as the other increases the correlation is positive; when one decreases as the other increases it is negative.

Detailed explanation-2: -The correlation coefficient is a statistical measure of the strength of a linear relationship between two variables. Its values can range from-1 to 1. A correlation coefficient of-1 describes a perfect negative, or inverse, correlation, with values in one series rising as those in the other decline, and vice versa.

Detailed explanation-3: -To measure both the strength and direction of the linear relationship between two variables, we use a statistical measure called correlation. The correlation only measures the association.