A Second Course in Statistics: Regression Analysis eBook (8e)

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About the book: A Second Course in Statistics: Regression Analysis, 8th Edition is a highly readable teaching text that explains concepts in a logical, intuitive manner with worked-out examples. Applications to engineering, sociology, psychology, science, and business are demonstrated throughout; real data and scenarios extracted from news articles, journals, and actual consulting problems are used to apply the concepts, allowing students to gain experience utilizing the techniques outlined in the text. Seven case studies throughout the text invite students to focus on specific problems, and are suitable for class discussion. The 8th Edition incorporates several substantial changes, additions, and enhancements to the case studies, data sets, and software tutorials.

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• 1. A Review of Basic Concepts
• 2. Introduction to Regression Analysis
• 3. Simple Linear Regression 4. Multiple Regression Models
• Case Study 2: Modeling the Sale Prices of Residential Properties in Four Neighborhoods
• 5. Principles of Model-Building
• 6. Variable Screening Methods
• Case Study 3: Deregulation of the Intrastate Trucking Industry
• 7. Some Regression Pitfalls
• 8. Residual Analysis
• Case Study 4: An Analysis of Rain Levels in California
• Case Study 5: Factors Affecting the Sale Price of Condominium Units Sold at Public Auction
• 9. Special Topics in Regression (Optional)
• 10. Time Series Modeling and Forecasting
• Case Study 6: Modeling Daily Peak Electricity Demands
• 11. Principles of Experimental Design
• 12. The Analysis of Variance for Designed Experiments
• Case Study 7: Voice Versus Face Recognition -- Does One Follow the Other?

• The authors’ goal is to create a teaching text rather than a reference. Concepts are explained in a logical, intuitive manner with worked-out examples.
• Fundamental to any regression analysis, model building is introduced in Chapters 4 - 8 and then emphasised throughout.
• The use of regression analysis is emphasised as a tool in solving problems, in addition to its basic concepts and methodology. In turn, students develop the ability to apply regression analysis to appropriate real-life situations.
• Many worked examples illustrate important aspects of model construction, data analysis, and the interpretation of results.
• Nearly every exercise is based on data and research extracted from a news article, magazine, or journal. Exercises are located at the ends of key sections and at the ends of chapters.
• 30% new and updated exercises include interesting topics pulled from biology, business, and history.
• Seven case studies address real-life research problems and are suitable for class discussion. While working through these, students can see how regression analysis is used to answer practical questions, and can then formulate appropriate statistical models for the analysis and interpretation of sample data.
• Important points are reinforced through flow graphs (which aid in selecting the appropriate statistical method) and boxed notes with key words, formulas, definitions, lists, and key concepts.

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Please note: eBooks are available for download immediately and cannot be returned once purchased.