Contents

← Back to document page

Contents Regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 835. Linear Relationships . . . . . . . . . . . . . . . . . . . 835. The Least Squares Regression Line . . . . . . . . . . . 837. Using the Regression Line . . . . . . . . . . . . . . . . 849. Hypothesis Test for the Line . . . . . . . . . . . . . . 852. Goodness of Fit . . . . . . . . . . . . . . . . . . . . . . 855. Standard Errors . . . . . . . . . . . . . . . . . . . . . 859. Example of Regression Using Time Series Data . . . . 863. Regression Line for Data from a Survey . . . . . . . . 874. Additional Comments on Regression . . . . . . . . . . 879. Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . 882. 834. Regression The regression model is a statistical procedure that allows a researcher to estimate the linear, or straight line, relationship that relates two or more variables. This linear relationship summarizes the amount of change in one variable that is associated with change in another variable or variables.

as far to the right at X2.This is the solid line that goes to the right from point (X1;Y1).Then draw a vertical line going from point (X2;Y2) down asfar as Y1.Together these produce the …

  Content, Points