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 -1 indicate?

Back

A perfect negative correlation between two variables.

Front

What does a correlation coefficient of 0 indicate?

Back

No correlation between the two variables.

Front

What does a correlation coefficient of 1 indicate?

Back

A perfect positive correlation between two variables.

Front

Give an example of causation.

Back

If it starts raining, the baseball game is delayed.

Front

Give an example of correlation without causation.

Back

High social media usage and reduced grades may correlate, but one does not cause the other.

Front

What is a strong negative correlation?

Back

A strong negative correlation means that as one variable increases, the other variable decreases significantly.

Front

What is a weak positive correlation?

Back

A weak positive correlation means that as one variable increases, the other variable also increases, but not significantly.

Front

What is the significance of a correlation coefficient of -0.87?

Back

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

Front

What is an example of a situation with no correlation?

Back

The amount of butter consumed and the number of people wearing glasses.