Logistic Regression in R, Clearly Explained!!!!

This video describes how to do Logistic Regression in R, step-by-step. We start by importing a dataset and cleaning it up, then we perform logistic regression on a very simple model, followed by a fancy model. Lastly we draw a graph of the predicted probabilities that came from the Logistic Regression.

The code that I use in this video can be found on the StatQuest GitHub:
https://github.com/StatQuest/logistic...

For more details on what's going on, check out the following StatQuests:

For a general overview of Logistic Regression:
   • StatQuest: Logistic Regression  

The odds and log(odds), clearly explained:
   • Odds and Log(Odds), Clearly Explained!!!  

The odds ratio and log(odds ratio), clearly explained:
   • Odds Ratios and Log(Odds Ratios), Cle...  

Logistic Regression, Details Part 1, Coefficients:
   • Logistic Regression Details Pt1: Coef...  

Logistic Regression, Details Part 2, Fitting a line with Maximum Likelihood:
   • Logistic Regression Details Pt 2: Max...  

Logistic Regression Details Part 3, R-squared and its p-value:
   • Logistic Regression Details Pt 3: R-s...  

Saturated Models and Deviance Statistics, Clearly Explained:
   • Saturated Models and Deviance  

Deviance Residuals, Clearly Explained:
   • Deviance Residuals  

For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/

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0:00 Awesome song and introduction
0:29 Load and format data
3:54 Dealing with missing data
5:03 Verifying that the data is not imbalanced
6:44 Logistic regression with one independent variable
12:48 Logistic regression with many independent variables
15:13 Graphing the predicted probabilities

#statquest #logistic