RESIDUALS AND CORRELATION COEFF

Front

What is a residual in statistics?

Back

A residual is the difference between the observed value and the predicted value in a regression analysis.

Front

How do you calculate a residual?

Back

Residual = Observed Value - Predicted Value.

Front

What does a positive residual indicate?

Back

A positive residual indicates that the observed value is greater than the predicted value.

Front

What does a negative residual indicate?

Back

A negative residual indicates that the observed value is less than the predicted value.

Front

What is the correlation coefficient (r)?

Back

The correlation coefficient (r) measures the strength and direction of a linear relationship between two variables.

Front

What is the range of the correlation coefficient?

Back

The correlation coefficient ranges from -1 to 1.

Front

What does an r value of 1 indicate?

Back

An r value of 1 indicates a perfect positive linear correlation.

Front

What does an r value of -1 indicate?

Back

An r value of -1 indicates a perfect negative linear correlation.

Front

What does an r value of 0 indicate?

Back

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

Front

What is a scatterplot?

Back

A scatterplot is a graph that shows the relationship between two quantitative variables.