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 a correlation coefficient of r = -0.9 indicate?

Back

A strong negative correlation, meaning as one variable increases, the other decreases.

Front

What does a correlation coefficient of r = 1 indicate?

Back

A perfect positive correlation, meaning both variables increase together.

Front

What does a correlation coefficient of r = 0 indicate?

Back

No correlation, meaning there is no relationship between the two variables.

Front

What is an example of causation?

Back

A car ran out of gas and being stranded on the side of the road.

Front

What is an example of correlation?

Back

Ice cream sales increase as temperature increases.

Front

What does a negative correlation mean?

Back

As one variable increases, the other variable decreases.

Front

What does a positive correlation mean?

Back

As one variable increases, the other variable also increases.

Front

What is the range of correlation coefficients?

Back

The range is from -1 to 1.

Front

What does a correlation coefficient of r = -1 indicate?

Back

A perfect negative correlation, meaning one variable decreases as the other increases.