Related Questions:
– What is Logistic Regression?
– What are the advantages and disadvantages of logistic regression?
Logistic regression is a statistical technique used to model the relationship between a dependent variable (often binary or dichotomous) and one or more independent variables. The major assumptions of logistic regression are depicted in the following table:
[table id=10 /]
Overall, logistic regression is a powerful tool for analyzing binary outcomes, but it is important to carefully consider the assumptions and limitations of the model when interpreting the results.
Video Explanations
There are following two recommended videos for understanding the assumptions of logistic regression:
1. [Recommended] In this video from Learn2Stats, Prof. Ryan explains the assumptions of logistic regression in detail (Runtime: 3:47).
2. [Recommended] Now that you understand the assumptions for logistic regression, you can follow this video from Hannah at University of Liverpool, to learn how to test for these assumptions (Runtime: 6:30 mins): https://www.youtube.com/watch?v=jILEwqg2p3k
