When you do logistic regression you have to make sense of the coefficients. These are based on the log(odds) and log(odds ratio), but, to be honest, the easiest way to make sense of these are through examples. In this StatQuest, I walk you though two Logistic Regression Examples, step-by-step, and show you exactly how the coefficients are derived and how to interpret them.

NOTE: This StatQuest assumes that you are already familiar with...
The main ideas of Logistic Regression:    • StatQuest: Logistic Regression  
Odds and Log(odds):    • Odds and Log(Odds), Clearly Explained!!!  
Odds Ratio and Log(odds ratio):    • Odds Ratios and Log(Odds Ratios), Cle...  
Linear Regression:    • The Main Ideas of Fitting a Line to D...   and
Linear Models:    • Linear Regression, Clearly Explained!!!  
   • Using Linear Models for t-tests and A...  

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0:00 Awesome song and introduction
1:13 Review of Logistic Regression Concepts
2:47 Coefficients for continuous variables
10:46 Coefficients for discrete variables
17:52 Coefficients for combinations of variable types

Correction:
15:21 The left hand side of the equation should be “log(odds Obesity)” instead of “size”.

#statquest #logistic