Learning Objectives

  • Explain the benefits of regression’s ability to predict values on the dependent variable (y) and explain how regression differs from the tests covered in previous chapters.
  • Explain the difference between bivariate and multiple regression, including the importance of controlling for additional independent variables.
  • Calculate each element of an ordinary least squares regression model, and compile the elements into an equation predicting y.
  • Use an ordinary least squares regression equation to find the predicted value of y given a certain value of x.
  • Read and interpret SPSS regression output, including identifying each key element of the equation and forming a conclusion about the statistical significance and substantive strength of relationships.