Interpreting Correlation in Calibration Curves

Calibration curves use the correlation coefficient, written as r, to show how strongly two variables are related and which direction the relationship takes. In a linear calibration curve, this value helps describe the association between the variables being compared.

The correlation coefficient r...

A correlation coefficient is a statistical test to evaluate the degree and the direction of linear correlation between two variables.

The Pearson correlation coefficient, denoted by 'r,' is commonly used. Here, 'n' represents the total number of observations.

The value of 'r' calculated in a calibration curve ranges from −1 to +1. ...