Use the preparation materials to prepare hand-written answers for the following questions. Please ask any questions on the "Questions -- Preparation Guide" on the course Team (see link on the homepage).
- What is the equation of the logistic regression model? Define all symbols.
- What is the interpretation of the slope for a logistic regression model? Be very specific.
- What is the interpretation of the slope for a logistic regression model if it is multiplied by 10? Be very specific.
- What is the interpretation of the exponentiated slope for a logistic regression model? Be very specific.
- What is the interpretation of the exponetiated slope for a logistic regression model if it was multiplied by 10 before exponentiating? Be very specific.
- What is the interpretation of the exponetiated slope for a logistic regression model raised to the 10th power? Be very specific.
- What is predicted when you plug X into the best-fit logistic regression equation?
- How do you predict the odds of “success” for a particular value of X? Explain and write the equation.
- How do you predict the probability of “success” for a particular value of X? Explain and write the equation.
- How do you predict the value of X for a particular probability of “success”? Explain and write the equation.
- What is the purpose of bootstrapping?
- What are the steps of bootstrapping?
- [Optional] What questions do you have from this reading that you would like me to address? [Please be as specific as possible. Don't just say "everything" or "I don't understand anything." Of course, you can ask me questions about the reading before class on MS Teams.]