Correlation vs. Causation

Front

What is correlation?

Back

Correlation is a statistical measure that describes the extent to which two variables change together. It does not imply that one variable causes the other to change.

Tags

CCSS.HSS.ID.C.9

Front

What is causation?

Back

Causation indicates that one event is the result of the occurrence of another event. It implies a direct cause-and-effect relationship.

Tags

CCSS.RI.4.3

CCSS.RI.5.3

CCSS.RI.6.3

CCSS.RI.7.3

CCSS.RI.8.3

Front

What does a correlation coefficient of 1 indicate?

Back

A correlation coefficient of 1 indicates a perfect positive correlation, meaning that as one variable increases, the other variable also increases in a perfectly linear manner.

Tags

CCSS.HSS.ID.B.5

Front

What does a correlation coefficient of -1 indicate?

Back

A correlation coefficient of -1 indicates a perfect negative correlation, meaning that as one variable increases, the other variable decreases in a perfectly linear manner.

Tags

CCSS.HSS.ID.B.5

Front

What does a correlation coefficient of 0 indicate?

Back

A correlation coefficient of 0 indicates no correlation between the two variables, meaning that changes in one variable do not predict changes in the other.

Tags

CCSS.HSS.ID.B.5

Front

What is a strong positive correlation?

Back

A strong positive correlation is indicated by a correlation coefficient close to 1 (e.g., 0.7 to 1), suggesting that as one variable increases, the other variable tends to also increase.

Tags

CCSS.HSS.ID.B.5

Front

What is a weak negative correlation?

Back

A weak negative correlation is indicated by a correlation coefficient close to 0 (e.g., -0.1 to -0.3), suggesting that there is a slight tendency for one variable to decrease as the other increases.

Tags

CCSS.HSS.ID.B.5

Front

What is an example of correlation without causation?

Back

An example of correlation without causation is the relationship between ice cream sales and the number of sunburns; both may increase during hot weather, but one does not cause the other.

Tags

CCSS.HSS.ID.C.9

Front

How can you determine the strength of a correlation?

Back

The strength of a correlation can be determined by the correlation coefficient, which ranges from -1 to 1. Values closer to -1 or 1 indicate stronger correlations.

Tags

CCSS.HSS.ID.B.5

Front

What is the difference between correlation and causation?

Back

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

Tags

CCSS.HSS.ID.C.9