One of the main limitations of correlational data is that it cannot establish causality. For example, finding a correlation between smoking and lung cancer does not prove that smoking causes lung cancer, although it may suggest a relationship. Other factors, known as confounders, may be influencing both variables. Therefore, correlational studies must be interpreted with caution.
