Estimate Change in CEO Departures With Bootstrap Resampling

Learn how to use tidymodels for bootstrap resampling with a generalized linear model to analyze CEO departures using #TidyTuesday data. Explore data filtering, visualization techniques, and model building to estimate changes in involuntary CEO departures over time. Follow along as the process of creating bootstrap confidence intervals and interpreting results through histograms is demonstrated. Gain insights into statistical analysis techniques applicable to real-world business scenarios.

Introduction
Data
Filtering
Visualization
Building the model
Model
Fit Binome
bootstrap confidence intervals
Histogram
Conclusion