This course covers the concept of logistic regression, focusing on predicting discrete outcomes. By the end of the course, learners will understand how to interpret coefficients, use maximum likelihood, analyze deviance residuals, and apply logistic regression in R. The teaching method includes video lectures. This course is suitable for individuals interested in expanding their knowledge of regression analysis and statistical modeling.
Overview
Syllabus
StatQuest: Logistic Regression.
Logistic Regression Details Pt1: Coefficients.
Logistic Regression Details Pt 2: Maximum Likelihood.
Logistic Regression Details Pt 3: R-squared and p-value.
Saturated Models and Deviance.
Deviance Residuals.
Logistic Regression in R, Clearly Explained!!!!.
Taught by
StatQuest with Josh Starmer
