While correlation uses a single coefficient to represent the strength and direction of the association, regression formulates an equation to provide deeper insights and forecasting capabilities.
Correlation does not imply causation and is primarily a descriptive tool for understanding how variables co-vary. It is valuable for identifying associations in data but doesn't provide insights into the underlying cause-and-effect relationships.