Correlation vs. Causation

Front

What is the difference between correlation and causation?

Back

Correlation indicates a relationship between two variables, while causation implies that one variable directly affects the other.

Front

What does causation mean?

Back

Causation means that one event is the result of the occurrence of another event; it indicates a direct cause-and-effect relationship.

Front

What does correlation mean?

Back

Correlation refers to a statistical relationship between two variables, where changes in one variable are associated with changes in another.

Front

What is a correlation coefficient?

Back

A correlation coefficient (R-value) quantifies the strength and direction of a relationship between two variables.

Front

What does an R-value of -0.89 indicate?

Back

A strong negative correlation, meaning as one variable increases, the other variable tends to decrease.

Front

What does a strong positive correlation mean?

Back

It means that as one variable increases, the other variable also increases.

Front

What does a weak negative correlation indicate?

Back

It indicates a slight tendency for one variable to decrease as the other variable increases, but the relationship is not strong.

Front

What is an example of causation?

Back

A car running out of gas leading to being stranded on the side of the road.

Front

What is an example of correlation?

Back

High social media usage and reduced grades may show a correlation, but it does not imply causation.

Front

What does a strong negative correlation imply?

Back

It implies that there is a strong inverse relationship between two variables.