Machine Learning - Logistic Regression Details Pt1: Coefficients

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: https://youtu.be/yIYKR4sgzI8 Odds and Log(odds): https://youtu.be/ARfXDSkQf1Y Odds Ratio and Log(odds ratio): https://youtu.be/8nm0G-1uJzA Linear Regression: https://youtu.be/PaFPbb66DxQ and Linear Models: https://youtu.be/nk2CQITm_eo https://youtu.be/NF5_btOaCig For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider... Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https://twitter.com/joshuastarmer 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