Sample covariance is a measure that indicates the extent to which two random variables change together. It provides insight into the direction of the linear relationship between the variables; a positive covariance indicates that as one variable increases, the other tends to increase as well, while a negative covariance suggests that as one variable increases, the other tends to decrease. Understanding sample covariance is crucial for analyzing data, especially when assessing relationships and dependencies between different variables.
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