Final answer:
Correlation is primarily concerned with the size and direction of relationships, while regression is primarily used for prediction.
Step-by-step explanation:
Correlation and regression differ in that correlation is primarily concerned with the size and direction of relationships, while regression is primarily used for prediction. Correlation measures the strength of the relationship between two or more variables using a correlation coefficient, ranging from -1 to 1. It tells us about the nature and strength of the relationship but does not indicate causation. On the other hand, regression analysis helps us find the line of best fit and make predictions based on the relationship between variables.