# Handbook of Regression Modeling in People Analytics

*With Examples in R and Python*

# Welcome

Welcome to the website for the book *Handbook of Regression Modeling in People Analytics* by Keith McNulty. Content can be used freely with appropriate referencing.

This book is available in bootstrap format and, for those who prefer, in a more plain gitbook format.

### Notes on data used in this book

For R and Python users, each of the data sets used in this book can be downloaded individually by following the code in each chapter. Alternatively for R users who intend to work through all of the chapters, all data sets can be loaded into an R session in advance by installing and loading the `peopleanalyticsdata`

R package.

```
# install and load all data sets in the book
install.packages("peopleanalyticsdata")
library(peopleanalyticsdata)
# see a list of data sets
data(package = "peopleanalyticsdata")
# find out more about a specific data set ('managers' example)
help(managers)
```

### Solutions to exercises

It is not my intention to publish a comprehensive set of solutions to the exercises in this book. Many of the exercises can be approached in different ways and I think it is important that readers apply their learning without being constrained to an example solution. However, some specific questions have generated considerable interest from readers and I have started to post example solutions to those questions here. Illustrative solutions submitted by readers will progressively be posted there also.

Happy modeling!

*Last update: 25 January 2021*

## Comments on this book

This book is in permanent open review. Feedback and requests for new content should be made via the issues section of the book’s Github repo.