Correlation Vs Regression
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.
Category Six sigma
All you need to know about regression.
Regression is a statistical technique that aims to identify and quantify the associations between these variables, allowing for prediction and understanding of how changes in predictors influence the outcome.
All you need to know about correlation.
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.