Calculating and Interpreting Correlation

Front

What is correlation?

Back

Correlation is a statistical measure that describes the extent to which two variables change together. It can be positive, negative, or zero.

Front

What does a positive correlation indicate?

Back

A positive correlation indicates that as one variable increases, the other variable also increases.

Front

What does a negative correlation indicate?

Back

A negative correlation indicates that as one variable increases, the other variable decreases.

Front

What is the correlation coefficient?

Back

The correlation coefficient (r) quantifies the degree of correlation between two variables, ranging from -1 to 1.

Front

What does an r value of 1 indicate?

Back

An r value of 1 indicates a perfect positive correlation between two variables.

Front

What does an r value of -1 indicate?

Back

An r value of -1 indicates a perfect negative correlation between two variables.

Front

What does an r value of 0 indicate?

Back

An r value of 0 indicates no correlation between the two variables.

Front

How can you visually represent correlation?

Back

Correlation can be visually represented using a scatterplot, where each point represents a pair of values.

Front

What is causation?

Back

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

Front

What is the difference between correlation and causation?

Back

Correlation does not imply causation; two variables can be correlated without one causing the other.