The covariance formula measures the degree to which two random variables change together, indicating the direction of their relationship. A positive covariance means that as one variable increases, the other tends to increase as well, while a negative covariance indicates that one variable tends to decrease as the other increases. This concept is crucial in understanding relationships between variables and lays the groundwork for correlation analysis.
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