What is Pearson correlation coefficient?

This correlation coefficient is a single number that measures both the strength and direction of the linear relationship between two continuous variables. Values can range from -1 to +1. The greater the absolute value of the Pearson correlation coefficient, the stronger the relationship.

What is a correlation coefficient test?

Correlation Coefficient Hypothesis Test. Correlation coefficient formulas are used to find how strong a relationship is between data. The formulas return a value between -1 and 1, where: 1 indicates a strong positive relationship. -1 indicates a strong negative relationship. A result of zero indicates no relationship at all.

What does a correlation coefficient of -1 mean?

A correlation of -1 means a perfect negative relationship, +1 represents a perfect positive relationship, and 0 indicates no relationship. In this post, you’ll learn about the correlation coefficient formula and gain insight into how it works. Then we’ll work through an example calculation so you learn how to find the correlation coefficient.