A theoretical discussion of a statistical technique is presented followed by chapters which explain the features of the software pertaining to the theory discussed before. All the analyses presented can readily be reproduced by the reader. It contains a variety of sections on different statistical parameters and residual analyses useful for model adequacy checking. Although the treatment of linear regression is very complete, the book is not intended as a fundamental theoretical textbook of linear regression aimed at statisticians. It is intended to teach regression to non-statisticians by applying linear regression to real data sets.
Experimental design is covered as it relates directly to regression analysis.
This restricts the design package to factors and responses that are continuous, quantitative variables. The advantages and disadvantages of the various design types are covered. Advanced ideas such as aliasing, orthogonality, rotatability and sequential experimentation are explained. The software accompanying Essential Regression and Experimental Design for Chemists and Engineers delivers all the tools necessary for a thorough, complete experimental design and linear regression analysis combined with easy handling and impressive output possibilities which rival the features of much more expensive and much less intuitive statistics packages. However, books with illustrative examples and software that can be immediately applied do represent a vast improvement over a solely traditional approach.