Logistic Regression in R
Estimated Time Commitment: 3 Hours
In this skill we will use the logit function to extend regular regression to situations in which the outcome has only two values. After illustrating that the logit function is the log of the odds ratio, and developing some intuition surrounding that idea, we will demonstrate how logistic regression can be run using R code. We talk about how to interpret the outcome, including how to convert the logit value to a probability that is easier to understand.
Upon successful completion, you will be able to:
Develop an understanding of probability, odds, and logit
Experiment with creating logistic regression models in R
Interpret the diagnostic results of logistic regression models
Use a logit model to create predictions about the probability that an event will occur
Interview with Monica Penagos - Choice Models in Practice
Introduction to the Skill
Glossary
Binary Outcome Model - Logit Model
Knowledge Check 1
Logit Model - Example 1
Knowledge Check 2
Logit Model - Example 2
Knowledge Check 3
Instructions
Exercise Files
Debriefing
Conclusion
Final Quiz
Survey Instructions
Feedback Survey
Survey Verification
Next Steps