Sometimes we want to know whether
two variables are related to one another. If they are related, we want to
know how much. Is there a strong relationship between two variables or is it
a weak relationship? What is the direction of the relationship?
When one variable goes up, does the
other go down? Pearson’s r can help us with that. Pearson’s r is a statistic
that helps you understand the strength of the linear relationship between
two variables.

Close to 1, there is a strong relationship between your
two variables.

Close to 0, there is a weak relationship between your
two variables.

Positive (+), as one variable increases in value, the
second variable also increases in value. This is called a positive
correlation.

Negative
(), as one variable increases in value, the second variable decreases in
value. This is called a negative correlation.
These are graphs that often
accompany the Pearson’s r statistic. These graphs help us understand the
relationship between the two variables. They have lots of dots. Each dot
signifies a data point that represents values of both variables.
