Jason W. Osborne's Best Practices in Logistic Regression provides students with an accessible, applied approach that communicates logistic regression in clear and concise terms. The book effectively leverages readers’ basic intuitive understanding of simple and multiple regression to guide them into a sophisticated mastery of logistic regression. Osborne's applied approach offers students and instructors a clear perspective, elucidated through practical and engaging tools that encourage student comprehension.
Chapter 2: How Does Logistic Regression Handle a Binary Dependent Variable?
How Does Logistic Regression Handle a Binary Dependent Variable?
In what way is having an anvil dropped on your head like a logistic curve? What predicts whether students will drop out of school prior to graduating high school? Put a more positive way, what factors influence whether students are retained through high school graduation?
Imagine we had an infinite variety of anvils that we could drop on your head.1 If we start with an infinitely tiny anvil, and gradually increase the size (and weight) of the anvils that get dropped on your head, for a long while you would not notice or care that extremely tiny things were being dropped on you. Then, suddenly, the anvils would become annoying, then painful, then pretty damaging. And ...