Description:
The emphasis in Dielman's book is on understanding the assumptions of the regression model, knowing how to validate a selected model for these assumptions, knowing when and how regression might be useful in a business setting, and understanding and interpreting output from statistical packages and spreadsheets.
-- The data sets have been updated, and additional problems and examples based on real data have been added. Some of these are from true business settings, while other data are from journals and other popular publications.
-- The former Chapter 5 has now been split into two chapters. New Chapter 5 discusses fitting curves with regression, and Chapter 6 discusses the implications of violations of assumptions of the regression model and possible corrections to violations.
-- Minitab and Excel, as well as SAS, procedures used to perform analyses are presented in a "Using a Computer" section at the end of each chapter.
Expand description
-- The data sets have been updated, and additional problems and examples based on real data have been added. Some of these are from true business settings, while other data are from journals and other popular publications.
-- The former Chapter 5 has now been split into two chapters. New Chapter 5 discusses fitting curves with regression, and Chapter 6 discusses the implications of violations of assumptions of the regression model and possible corrections to violations.
-- Minitab and Excel, as well as SAS, procedures used to perform analyses are presented in a "Using a Computer" section at the end of each chapter.
Product notice
Returnable at the third party seller's discretion and may come without consumable supplements like access codes, CD's, or workbooks.
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