The formula for Pearson’s correlation coefficient, r, relates to how closely a line of best fit, or how well a linear regression, predicts the relationship between the two variables. It is presented ...

Pearson coefficients range from +1 to -1, with +1 representing a positive correlation, -1 representing a negative correlation, and 0 representing no relationship.

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). ( a ) Simulated values of ...