Causality always implies correlation, but correlation never implies causality.

Correlation and causality are interchangeable terms in statistical analysis.

If the correlation between two variables is highly statistically significant, this suggests a causal relationship.

Causality means that two variables move together, while correlation implies that changes in one variable lead to changes in the other.

Correlation means that two variables move together, while causality implies that changes in one variable lead to changes in the other.