A Second Course in Statistics: Regression Analysis eBook (8e) : 9780135163900

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

Mendenhall,W et al
Published by
Pearson Higher Ed USA
Title type
NZ/Pacific customers only
This eText can only be purchased by people residing in New Zealand, Fiji, Samoa, Tonga or Cook Islands with a credit card from the same country. Click here to find the Pearson website for your region.

Digital Access Code: When you buy an eBook you will receive an email with your unique redemption code code. Simply go to VitalSource Bookshelf to download the FREE Bookshelf software. After installation, enter your redemption code for your eBook.

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

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.

The full text downloaded to your computer. With VitalSource eBooks you can:

  • search for key concepts, words and phrases
  • make highlights and notes as you study
  • share your notes with friends

The eBook is downloaded to your computer and accessible either offline through the VitalSource Bookshelf, available online and also via the iPad/Android app.

Time Limit: This VitalSource eBook does not have an expiry date. You will continue to access your eBook whilst you have your VitalSource Bookshelf installed.

Table of contents
  • 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?
Features & benefits
  • 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.
Access Code info.

To get the most out of your eBook you need to download the VitalSource Bookshelf software. This software is free to download and use. View the VitalSource Bookshelf system requirements here.

Download Information: Once purchased, you can view and/or download your eBook instantly, either via the download link which you will receive as soon as you complete your online order or by viewing the download link against the order in the My Account area of this website.

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