Correlations: making relationships

The video tutorial explains correlations as relationships between variables, highlighting the importance of direction and strength in understanding them. It emphasizes that correlations do not imply causation and discusses limitations such as data quality and generalization. A case study on TV watching and aggression illustrates these points, showing that while a strong correlation exists, it does not prove causation. The tutorial concludes by suggesting that controlled experiments are necessary to establish causal relationships.

What limitations should be considered when interpreting correlations?

Why is it incorrect to assume that a strong correlation implies causation?