Learning Objectives

  • List the problems that can occur when using ordinary least-squares (OLS) regression to predict the values of a dichotomous dependent variable.
     
  • Describe the estimation procedures used to predict a dichotomous dependent variable with the logistic regression model.
     
  • Identify the logistic regression equation from Statistical Package for the Social Sciences (SPSS) output.
     
  • Interpret both the slope coefficients and the exponential of the slope coefficients from a logistic regression equation.
     
  • Transform the slope coefficients in a logistic regression model into predicted probabilities of a dependent variable.
     
  • Conduct a hypothesis test for the slope coefficient in a logistic regression model.
     
  • Explain how to interpret slope coefficients from multivariate logistic regression models.
     
  • Describe how to assess model fit for logistic regression models.