Chapter 10 - Correlation and Regression - 10-1 Scatter Plots and Correlation - Exercises 10-1 - Page 564: 2

A linear relationship between two variables is measured through scatter plots. If there is an increase in y as x increases, it is a positive linear relationship. If y decreases as x increases, there is a negative linear relationship. Other relationships that do not form a linear relationship are usually nonlinear or curvilinear. IF there is no pattern in the data, there is no relationship.

A linear relationship between two variables is measured through scatter plots. If there is an increase in y as x increases, it is a positive linear relationship. If y decreases as x increases, there is a negative linear relationship. Other relationships that do not form a linear relationship are usually nonlinear or curvilinear. IF there is no pattern in the data, there is no relationship.