Handbook of Regression Modeling in People Analytics

• 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing)
• Clear step-by-step instructions on executing the analyses.
• Clear guidance on how to interpret results.
• Primary instruction in R but added sections for Python coders.
• Discussion exercises and data exercises for each of the main chapters.
• Final chapter of practice material and datasets ideal for class homework or project work.