A positive correlation exists when two variables move in the same direction as one another. A basic example of positive correlation is height and weight—taller people tend to be heavier, and vice versa. In some cases, positive correlation exists because one variable influences the other.
In statistics, a positive correlation shows that changes in one variable will relate to the same type of changes in a second variable. The data is usually displayed in a scatterplot, which shows the linear relationship between variables in a positive correlation graph.
