Answer / Abhishek Mishra

Covariance measures the degree to which two variables change together, taking into account their units. Correlation, on the other hand, measures the strength of a linear relationship between two variables, without considering the units or direction. Covariance can be either positive (when variables increase together) or negative (when variables decrease together), while correlation always ranges from -1 to 1.

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