Correlation Coefficient

Front

What is the correlation coefficient?

Back

The correlation coefficient (r) is a statistical measure that describes the strength and direction of a relationship between two variables. It ranges from -1 to 1.

Front

What does a correlation coefficient of r = 1 indicate?

Back

A correlation coefficient of r = 1 indicates a perfect positive linear relationship between two variables.

Front

What does a correlation coefficient of r = -1 indicate?

Back

A correlation coefficient of r = -1 indicates a perfect negative linear relationship between two variables.

Front

What does a correlation coefficient of r = 0 indicate?

Back

A correlation coefficient of r = 0 indicates no linear relationship between the two variables.

Front

What is a scatter plot?

Back

A scatter plot is a graphical representation of two variables, showing how much one variable is affected by another. Each point represents an observation.

Front

What does a strong positive correlation look like on a scatter plot?

Back

A strong positive correlation on a scatter plot appears as points that are closely clustered around a line that slopes upwards from left to right.

Front

What does a strong negative correlation look like on a scatter plot?

Back

A strong negative correlation on a scatter plot appears as points that are closely clustered around a line that slopes downwards from left to right.

Front

What is the difference between positive and negative correlation?

Back

Positive correlation means that as one variable increases, the other variable also increases. Negative correlation means that as one variable increases, the other variable decreases.

Front

What is a weak correlation?

Back

A weak correlation indicates that there is little to no relationship between the two variables, and the points on a scatter plot are widely dispersed.

Front

How can you determine the strength of a correlation?

Back

The strength of a correlation can be determined by the absolute value of the correlation coefficient (r). Values closer to 1 or -1 indicate stronger correlations.