Correlation and Covariance

Statistical measures that show how two variables move together. Correlation tells you the strength and direction of a linear relationship (like 'as temperature rises, ice cream sales increase'), while covariance measures how much two variables change together. Both help data scientists understand relationships in data, though correlation is easier to interpret since it's always between -1 and 1.