Introduction to Binary Logistic Regression

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Introduction to Binary Logistic Regression 1 Introduction to Binary Logistic Regression Dale Berger Email: Website: Page Contents 2 How does Logistic Regression differ from ordinary linear Regression ? 3 Introduction to the mathematics of Logistic Regression 4 How well does a model fit? Limitations 4 Comparison of Binary Logistic Regression with other analyses 5 Data screening 6 One dichotomous predictor: 6 Chi- square analysis (2x2) with Crosstabs 8 Binary Logistic Regression 11 One continuous predictor: 11 t-test for independent groups 12 Binary Logistic Regression 15 One categorical predictor (more than two groups) 15 Chi- square analysis (2x4) with Crosstabs 17 Binary Logistic Regression 21 Hierarchical Binary Logistic Regression w/ continuous and categorical predictors 23 Predicting outcomes.

1990), we could use WEIGHT to predict SEX (coded male = 0, female = 1). An ordinary least squares regression analysis tells us that Predicted SEX = 2.081 - .01016 * (Body Weight) and r = -.649, t(188) = -11.542, p < .001. A naïve interpretation is that we have a great model. It is always a good idea to graph data to make sure models are ...

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