A Second Course in Statistics: Regression Analysis

by William Mendenhall, Terry Sinich

For either the second term of an introductory statistics course or for a course in applied regression analysis for graduate students in all disciplines, this text focuses on building linear statistical models and developing skills for implementing regression analysis in real-life situations.

852 pages, Paperback

First published August 1, 2003

Reviews

[John · Rating 4 out of 5]

Excellent text. You may be looking at this book because you are taking a course. If so you're in luck. The text is lucid and complete. Well illustrated. Most examples and samples problems that I encountered were helpful. The text is black and white but well illustrated. If you are not taking a course but simply interested in picking up a text to increase your understanding, this a a great follow-up text to anyone with a background in elementary statistics. While I gather the original text (earlier editions) may have had a more business focus. The later editions - clearly the present edition (7th ed.) are more than sufficient to entertain those interested in all manner of subject matters that would benefit from statistics (e.g. the sciences).

There is likely value to you in buying this as a hard cover book. It comes with a disk containing data sets and case studies that will prove useful (necessary) for working the problem sets should you chose to do so.

Chapters include:
1. A review of Basic Concepts
2. Introduction to Regression Analysis
3. Simple Linear Regression
4. Multiple Regression Models
5. Principles in Model Building
6. Variables Screening Methods
7. Some Regression Pitfalls
8. Residual Analysis
9. Special Topics in Regression
10. Introduction to Time Series Modeling
11. Principles of Experimental Design
12. The Analysis of Variance for Designed Experiments

Enjoy!

John S.