Correlation: When two variables move together in the same (or opposite) direction. Correlation measures the degree to which two variables are related but does not establish cause and effect.
Causation: When a change in one variable directly causes a change in another. Causation implies a direct cause-and-effect relationship.
Scatter diagrams are used to plot the relationship between two variables.
A line can be fitted through the points of a scatter diagram to show the general trend of the data.
Econometrics is the field that uses statistical methods to measure relationships between economic variables, often by fitting lines through scatter diagrams.
Diagrams are useful for representing economic models and understanding relationships between variables.