Topics

Python Edition

Applied Linear Regression for Business Analytics with Python

Chapters

Chapter 1 – Introduction
Chapter 2 – Basic Statistics and Functions Using Python
Chapter 3 – Regression Fundamentals
Chapter 4 – Simple Linear Regression
Chapter 5 – Multiple Regression
Chapter 6 – Estimation Intervals and Analysis of Variance
Chapter 7 – Predictor Variable Transformation
Chapter 8 – Model Diagnostics
Chapter 9 – Variable Selection
Appendix A – Ravix Modeling Architecture

Case Studies

Chapter 2 – Top Companies
Chapter 3 – Accounting Analytics
Chapter 4 – Stock Betas
Chapter 5 – Real Estate
Chapter 6 – Employee Retention Modeling
Chapter 7 – Video Engagement
Chapter 8 – Lead Generation
Chapter 9 – Cancer Treatment Cost Analysis

R Edition

Applied Linear Regression for Business Analytics with R

Chapters

Chapter 1 – Introduction
Chapter 2 – Basic Statistics and Functions Using R
Chapter 3 – Regression Fundamentals
Chapter 4 – Simple Linear Regression
Chapter 5 – Multiple Regression
Chapter 6 – Estimation Intervals and Analysis of Variance
Chapter 7 – Predictor Variable Transformations
Chapter 8 – Model Diagnostics
Chapter 9 – Variable Selection
Appendix A – Installing Packages
Appendix B – The quantmod Package

Case Studies

Chapter 2 – Top Companies
Chapter 3 – Accounting Analytics
Chapter 4 – Stock Betas
Chapter 5 – Real Estate
Chapter 6 – Employee Retention Modeling
Chapter 7 – Social Media
Chapter 8 – Lead Generation
Chapter 9 – Cancer Treatment Cost Analysis