![]() It measures the strength and direction of the linear relationship between the two variables and cannot capture nonlinear relationships between two variables. There are several types of correlation coefficients, Pearson's correlation (r) being the most common among all. The following correlation graphs show the examples of different range of values for a correlation coefficient: This means that any value beyond this range will be the result of an error in correlation measurement.Ī correlation of value -1.0 means a perfect negative correlation, while a correlation of +1.0 means a perfect positive correlation.Ī correlation of 0.0 means no linear relationship between the movement of the two variables. The value of the correlation coefficient ranges from -1.0 to +1.0 The correlation coefficient is used to measure the strength of the relationship between two variables. What Is Correlation Coefficient? Correlation Coefficient Definition ![]()
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