The coefficient of correlation represents the standard deviation divided by the expected value.
This is actually the definition of the "coefficient of variation."

Question

Quizplus · Accepted Answer

The statement is incorrect. The coefficient of correlation, also known as Pearson correlation coefficient, is the measure of the linear relationship between two variables and ranges from -1 to +1. The formula for the coefficient of correlation involves dividing the covariance of the two variables by the product of their standard deviations. The coefficient of variation, on the other hand, is a measure of the relative variability of a data set and is calculated by dividing the standard deviation by the mean and expressing it as a percentage.

The Coefficient of Correlation Represents the Standard Deviation Divided by the Expected