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 is an example of causation?

Back

A car running out of gas causes it to be stranded on the side of the road.

Front

What does a correlation coefficient of -0.87 indicate?

Back

It indicates a strong negative correlation between the two variables being measured.

Front

What is a strong positive correlation?

Back

A strong positive correlation means that as one variable increases, the other variable also increases.

Front

What is the weakest negative correlation among the following: -0.34, -0.67, -0.90?

Back

-0.34 is the weakest negative correlation.

Front

What does it mean if two variables have a correlation of 0?

Back

A correlation of 0 means there is no relationship between the two variables.

Front

What is an example of a situation that shows causation?

Back

It starting to rain causes the baseball game to be delayed.

Front

What is a correlation coefficient?

Back

A correlation coefficient is a statistical measure that describes the strength and direction of a relationship between two variables.

Front

What does a positive correlation coefficient indicate?

Back

A positive correlation coefficient indicates that as one variable increases, the other variable tends to increase as well.

Front

What is a negative correlation?

Back

A negative correlation means that as one variable increases, the other variable tends to decrease.