Sample covariance is a statistical measure that indicates the extent to which two random variables change together, calculated using a sample rather than an entire population. This value can be positive, negative, or zero, indicating the direction and strength of the relationship between the variables. Understanding sample covariance is crucial for determining how variables interact, which lays the groundwork for further analyses such as correlation and regression.
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