Among the following options identify the one which is false regarding regression.

To determine which statement about regression is false, we typically assess various claims related to the properties, uses, and assumptions of regression analysis. Here are some common statements about regression:

1. Regression analysis can establish causation.
2. The coefficients in regression indicate the strength and direction of relationships.
3. Outliers can significantly affect regression results.
4. Regression assumes a linear relationship between dependent and independent variables.

The statement that is false is usually about causation: "Regression analysis can establish causation." While regression can suggest associations and predictive relationships between variables, it does not imply that one variable causes a change in another without further experimental or longitudinal data.

In summary, the false statement among typical claims about regression is that it establishes causation.