Apply regression analysis

Author: He Xiaoqun
Publisher:
Publish Date: 2004-09-01
Features: The guiding principle for writing this book is to remain rigorous while being distinctly different from pure mathematical and physical textbooks. It strives to highlight the application of practical cases and the integration of statistical thinking, systematically introducing the practical methods of regression analysis with the help of statistical software. To implement this guiding principle, the book systematically introduces the basic theories and methods of regression analysis while making every effort to combine research examples from China's social, economic, and natural science fields. It integrates regression analysis methods with practical applications, emphasizing the close connection between qualitative and quantitative analysis. It also incorporates the experiences and insights of peers and the authors in applying regression analysis in practice. Almost every method emphasizes its advantages, disadvantages, and key considerations in practical applications, and provides a summary review of each chapter's content. To help readers master the book's content, while also considering the practical and applied nature of the course, simple thinking questions and exercises are provided at the end of each chapter, encouraging readers to apply these methods using economic data. The application of regression analysis is inseparable from computers, and the cases in this book primarily use SPSS software, which is widely popular in China, to implement the methods. Some content is completed using Excel and SAS software. A notable feature of this book is that it provides a brief overview of the practical operation processes of SPSS, Excel, or SAS software after each method, combined with examples. Some important application cases and conclusions in the book are accompanied by references, and interested readers can further explore and read about them.