Introduction to Linear Regression Analysis 6th Edition

Introduction to Linear Regression Analysis (6th Edition)
Authors: Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
Series: Wiley Series in Probability and Statistics

Paper Quality: Black White Paper

This authoritative text offers a comprehensive treatment of linear regression modeling, a fundamental statistical technique widely used across fields like engineering, economics, biological sciences, and data analytics. The 6th edition expands upon previous editions with updated methodologies, examples using real-world data, and guidance on using modern statistical software. With a balance between theory and application, it is an essential guide for students and professionals alike.

🔹 Key Points

• Detailed explanation of simple and multiple linear regression models.
• Emphasis on diagnostics and model adequacy checking.
• Integration of case studies and real datasets for practical understanding.
• Includes chapters on regression with categorical predictors and time series.
• Companion material and examples compatible with R and other statistical software.

🔹 Conclusion

"Introduction to Linear Regression Analysis" by Montgomery and co-authors stands out as a definitive text in applied statistics. With its clear exposition, rigorous examples, and practical relevance, it continues to be a cornerstone resource in statistical education and research.