Numerically, the Pearson coefficient is represented the same way as a correlation coefficient that is used in linear regression, ranging from -1 to +1.

Figure 1: The results of multiple linear regression depend on the correlation of the predictors, as measured here by the Pearson correlation coefficient r (ref. 2).

What is Pearson correlation test, Pearson product moment correlation or Pearson r? Pearson’s correlation helps us understand the relationship between two quantitative variables when the relationship ...

The correlation coefficient ranges from -1 to 1, indicating the strength and direction of a linear relationship between two variables. A Pearson correlation coefficient of 1 shows a perfect ...

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.