Publisher's Synopsis
Covering regression analysis and analysis of variance in great detail, this textbook does not use unnecessary and complicated mathematical formulae. More advanced topics such as maximum likelihood methods, analysis of categorical data using linear models, two-group discriminant analysis and variable reduction and factor analysis are presented in a non-mathematical manner.;In this second edition, exercise sets have been thoroughly revised and expanded, the chapter on dummy variables now contains more on methods of comparing two straight lines and two correlations and new chapters include Testing Hypothesis in Multiple Regression, Compounding and Interaction in Regression and Regression Diagnosis. Computer results from popular statistical computing packages are used to illustrate concepts. Complete and revised data sets and computer analysis are provided for most exercises.;This book should be of interest to degree students on courses in statistics.
