PEARSON(array1,array2)
=PEARSON(A2:A10, B2:B10)
In this example, the PEARSON function is used to calculate the Pearson correlation coefficient between two sets of data points in the ranges A2:A10 and B2:B10. The Pearson correlation coefficient measures the linear relationship between two variables, with values ranging from -1 (perfect negative correlation) to 1 (perfect positive correlation). The formula returns the Pearson correlation coefficient for the given data sets, indicating the strength and direction of the linear relationship between the two variables.
=PEARSON(C2:C15, D2:D15)
In this example, the PEARSON function is used to calculate the Pearson correlation coefficient between two sets of data points in the ranges C2:C15 and D2:D15. The formula returns the Pearson correlation coefficient for the given data sets. A positive value close to 1 indicates a strong positive linear relationship between the two variables, while a negative value close to -1 indicates a strong negative linear relationship. A value close to 0 suggests little to no linear relationship between the variables.
The PEARSON function calculates the Pearson product moment correlation coefficient, which measures the linear relationship between two data sets. It takes two arrays of numbers, names, array constants, or references containing numbers.