Correlation

Front

What is correlation?

Back

Correlation is a statistical measure that describes the extent to which two variables change together. It can indicate the strength and direction of a relationship between the variables.

Front

What are the types of correlation?

Back

There are three types of correlation: Positive Correlation, Negative Correlation, and No Correlation.

Front

What does positive correlation mean?

Back

Positive correlation means that as one variable increases, the other variable also increases. For example, height and weight often show positive correlation.

Front

What does negative correlation mean?

Back

Negative correlation means that as one variable increases, the other variable decreases. For example, the amount of time spent studying and the number of errors made on a test may show negative correlation.

Front

What does no correlation mean?

Back

No correlation means that there is no predictable relationship between the two variables. Changes in one variable do not affect the other.

Front

How is correlation measured?

Back

Correlation is measured using a correlation coefficient, which ranges from -1 to +1. A coefficient close to +1 indicates a strong positive correlation, while a coefficient close to -1 indicates a strong negative correlation.

Front

What is an example of positive correlation?

Back

An example of positive correlation is the relationship between temperature and ice cream sales; as temperature increases, ice cream sales tend to increase.

Front

What is an example of negative correlation?

Back

An example of negative correlation is the relationship between the amount of exercise and body weight; as exercise increases, body weight tends to decrease.

Front

What is the correlation coefficient for no correlation?

Back

The correlation coefficient for no correlation is approximately 0.

Front

Can correlation imply causation?

Back

No, correlation does not imply causation. Just because two variables are correlated does not mean that one causes the other.