A Second Course in Statistics

For either the second term of an introductory statistics course or for an advanced course in applied regression analysis for students in all disciplines, especially those in business. This very applied text focuses on building linear statistical models and developing skills for implementing regression analysis in real-life situations.
It includes applications for engineering, sociology, psychology, etc., as well as traditional business applications.
The authors use material from news articles, magazines, professional journals, and actual consulting problems to illustrate real-world problems and how to solve them using the tools of regression analysis.

Contents

• A Review of Basic Concepts (Optional)
• Introduction to Regression Analysis
• Simple Linear Regression
• Multiple Regression Models
• Model-Building
• Variable Screening Methods
• Some Regression Pitfalls
• Residual Analysis
• Special Topics in Regression (Optional)
• Introduction to Time Series Modeling and Forecasting
• Principles of Experimental Design
• The Analysis of Variance for Designed Experiments
• Modeling the Sale Prices of Residential Properties in Four Neighborhoods
• An Analysis of Rain Levels in California
• Reluctance to Transmit Bad News: The MUM Effect
• An Investigation of Factors Affecting the Sale Price of Condominium Units Sold at Public Auction
• Modeling Daily Peak Electricity Demands