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Correlation and Covariance are two commonly used statistical concepts majorly used to measure the linear relation between two variables in data. When used to compare samples from different populations, covariance is used to identify how two variables vary together whereas correlation is used to determine how change in one variable is affecting the change in another variable. Even though there are certain similarities between these two mathematical terms, these two are different from each other. Read further to understand the difference between covariance and correlation.