The Pearson correlation coefficient is a statistical method used to measure the linear relationship between two variables. It typically describes how two variables move together.
The Pearson correlation coefficient ranges from -1 to 1, and it is interpreted as follows:
- Close to 1: Indicates a strong positive linear relationship between the two variables. As one variable increases, the other variable tends to increase as well.
- Close to -1: Indicates a strong negative linear relationship between the two variables. As one variable increases, the other variable tends to decrease.
- Close to 0: Indicates little to no linear relationship between the two variables.
The Pearson correlation coefficient is calculated using the following formula:
Where 𝑟 represents the Pearson correlation coefficient, 𝑋𝑖 and 𝑌𝑖 are individual observation values of variables 𝑋 and 𝑌, and 𝑋ˉ and 𝑌ˉ are the means of variables 𝑋 and 𝑌, respectively.
https://www.questionpro.com/blog/pearson-correlation-coefficient/
Pearson Correlation Coefficient: Calculation + Examples
Learn about the Pearson correlation coefficient and know how to measure the relationship between two related variables using it. Calculation and examples.
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