Correlation & Causation

Front

What is correlation?

Back

Correlation is a statistical measure that describes the extent to which two variables change together. A positive correlation means that as one variable increases, the other also increases, while a negative correlation means that as one variable increases, the other decreases.

Front

What is causation?

Back

Causation indicates that one event is the result of the occurrence of another event. In other words, causation implies a cause-and-effect relationship.

Front

What does a correlation coefficient of -0.87 indicate?

Back

A correlation coefficient of -0.87 indicates a strong negative correlation between the two variables being studied.

Front

Which correlation coefficient indicates the weakest negative correlation?

Back

A correlation coefficient of -0.34 indicates the weakest negative correlation among the options provided.

Front

What is the difference between correlation and causation?

Back

Correlation does not imply causation. Just because two variables are correlated does not mean that one causes the other.

Front

What does a strong negative correlation imply about two variables?

Back

A strong negative correlation implies that as one variable increases, the other variable tends to decrease significantly.

Front

Give an example of causation.

Back

An example of causation is: It started raining, which caused the baseball game to be delayed.

Front

What does a correlation coefficient of 0 indicate?

Back

A correlation coefficient of 0 indicates no correlation between the two variables.

Front

What is a positive correlation?

Back

A positive correlation occurs when two variables move in the same direction; as one increases, the other also increases.

Front

What is a negative correlation?

Back

A negative correlation occurs when two variables move in opposite directions; as one increases, the other decreases.