States that the teaching of logit regression analysis is much neglected in statistics courses within sociology. Claims that logit regression allows the researcher to evaluate the impact of a set of predictor variables on a dichotomous dependent variable without the problems associated with discriminant analysis, weighted least squares regression,…

Shows how an introductory social science statistics course can improve the treatment of regression assumptions, the problem of outliers, and the important idea that some outliers have greater influence than others through the use of Anscombe's now classic 1973 example and Cook's (1977; 1979) extension of the idea of influence. (JDH)