In this video, I will show you how to check assumptions of #logisticregression in #r_programming step by step.
Here's what I'm going to cover in this video:
1. Importing Data to R Studio
2. Building Logistic Regression Model in R
3. Checking Linearity assumption with #scatterplot and #BoxTidwell test
4. Checking #outliers with Cook's distance and Standardized residuals
5. Checking #multicollinearity with vif values
You can download the data via this link:
http://archive.ics.uci.edu/ml/machine-learning-databases/heart-disease/processed.cleveland.data
Best Wishes,
Tr. Wai