Author: Terry E. Dielman
Publisher: Brooks/Cole
ISBN:
Category : Business & Economics
Languages : en
Pages : 664
Book Description
Designed for undergraduate and MBA courses in regression analysis for business and economics, this text requires very little mathematical expertise beyond college algebra. Terry Dielman emphasizes the importance of 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.
Applied Regression Analysis for Business and Economics
Author: Terry E. Dielman
Publisher: Brooks/Cole
ISBN:
Category : Business & Economics
Languages : en
Pages : 664
Book Description
Designed for undergraduate and MBA courses in regression analysis for business and economics, this text requires very little mathematical expertise beyond college algebra. Terry Dielman emphasizes the importance of 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.
Publisher: Brooks/Cole
ISBN:
Category : Business & Economics
Languages : en
Pages : 664
Book Description
Designed for undergraduate and MBA courses in regression analysis for business and economics, this text requires very little mathematical expertise beyond college algebra. Terry Dielman emphasizes the importance of 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.
Applied Regression Analysis for Business
Author: Jacek Welc
Publisher: Springer
ISBN: 3319711563
Category : Business & Economics
Languages : en
Pages : 294
Book Description
This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world scenarios. The book consists of nine chapters, the final two of which are fully devoted to case studies. Today's business environment is characterised by a huge amount of economic data. Making successful business decisions under such data-abundant conditions requires objective analytical tools, which can help to identify and quantify multiple relationships between dozens of economic variables. Single-equation regression analysis, which is discussed in this book, is one such tool. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational management.
Publisher: Springer
ISBN: 3319711563
Category : Business & Economics
Languages : en
Pages : 294
Book Description
This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world scenarios. The book consists of nine chapters, the final two of which are fully devoted to case studies. Today's business environment is characterised by a huge amount of economic data. Making successful business decisions under such data-abundant conditions requires objective analytical tools, which can help to identify and quantify multiple relationships between dozens of economic variables. Single-equation regression analysis, which is discussed in this book, is one such tool. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational management.
Applied Regression Analysis for Business Economics
Author: Dielman
Publisher: Arden Shakespeare
ISBN: 9780534925901
Category :
Languages : en
Pages :
Book Description
Publisher: Arden Shakespeare
ISBN: 9780534925901
Category :
Languages : en
Pages :
Book Description
Applied Regression Analysis for Business and Economics
Author: Terry E. Dielman
Publisher: South Western Educational Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 600
Book Description
Disk includes: Data sets for the exercises in the text, formatted in ASCII, MINITAB, SAS, Microsoft Excel, and STATA form and accessible to any statistical software package.
Publisher: South Western Educational Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 600
Book Description
Disk includes: Data sets for the exercises in the text, formatted in ASCII, MINITAB, SAS, Microsoft Excel, and STATA form and accessible to any statistical software package.
Applied Regression Analysis for Business and Economics
Author: Terry E. Dielman
Publisher:
ISBN: 9780534380458
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9780534380458
Category :
Languages : en
Pages :
Book Description
Applied Regression Analysis
Author: Christer Thrane
Publisher: Routledge
ISBN: 0429813023
Category : Business & Economics
Languages : en
Pages : 285
Book Description
This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data. Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and mathematics to get a firm grip on regression and perform it to perfection. This non-technical point of departure is complemented by practical examples of real-life data analysis using statistics software such as Stata, R and SPSS. Parts 1 and 2 of the book cover the basics, such as simple linear regression, multiple linear regression, how to interpret the output from statistics programs, significance testing and the key regression assumptions. Part 3 deals with how to practically handle violations of the classical linear regression assumptions, regression modeling for categorical y-variables and instrumental variable (IV) regression. Part 4 puts the various purposes of, or motivations for, regression into the wider context of writing a scholarly report and points to some extensions to related statistical techniques. This book is written primarily for those who need to do regression analysis in practice, and not only to understand how this method works in theory. The book’s accessible approach is recommended for students from across the social sciences.
Publisher: Routledge
ISBN: 0429813023
Category : Business & Economics
Languages : en
Pages : 285
Book Description
This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data. Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and mathematics to get a firm grip on regression and perform it to perfection. This non-technical point of departure is complemented by practical examples of real-life data analysis using statistics software such as Stata, R and SPSS. Parts 1 and 2 of the book cover the basics, such as simple linear regression, multiple linear regression, how to interpret the output from statistics programs, significance testing and the key regression assumptions. Part 3 deals with how to practically handle violations of the classical linear regression assumptions, regression modeling for categorical y-variables and instrumental variable (IV) regression. Part 4 puts the various purposes of, or motivations for, regression into the wider context of writing a scholarly report and points to some extensions to related statistical techniques. This book is written primarily for those who need to do regression analysis in practice, and not only to understand how this method works in theory. The book’s accessible approach is recommended for students from across the social sciences.
Applied Regression Analysis
Author: Terry E. Dielman
Publisher:
ISBN: 9780534274948
Category : Regression analysis
Languages : en
Pages : 0
Book Description
Publisher:
ISBN: 9780534274948
Category : Regression analysis
Languages : en
Pages : 0
Book Description
Introductory Regression Analysis
Author: Allen Webster
Publisher: Routledge
ISBN: 1136593098
Category : Business & Economics
Languages : en
Pages : 488
Book Description
Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues. Every day, decision-makers face problems that require constructive actions with significant consequences, and regression procedures can prove a meaningful and valuable asset in the decision-making process. This text is designed to help students achieve a full understanding of regression and the many ways it can be used. Taking into consideration current statistical technology, Introductory Regression Analysis focuses on the use and interpretation of software, while also demonstrating the logic, reasoning, and calculations that lie behind any statistical analysis. Furthermore, the text emphasizes the application of regression tools to real-life business concerns. This multilayered, yet pragmatic approach fully equips students to derive the benefit and meaning of a regression analysis. This text is designed to serve in a second undergraduate course in statistics, focusing on regression and its component features. The material presented in this text will build from a foundation of the principles of data analysis. Although previous exposure to statistical concepts would prove helpful, all the material needed for an examination of regression analysis is presented here in a clear and complete form.
Publisher: Routledge
ISBN: 1136593098
Category : Business & Economics
Languages : en
Pages : 488
Book Description
Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues. Every day, decision-makers face problems that require constructive actions with significant consequences, and regression procedures can prove a meaningful and valuable asset in the decision-making process. This text is designed to help students achieve a full understanding of regression and the many ways it can be used. Taking into consideration current statistical technology, Introductory Regression Analysis focuses on the use and interpretation of software, while also demonstrating the logic, reasoning, and calculations that lie behind any statistical analysis. Furthermore, the text emphasizes the application of regression tools to real-life business concerns. This multilayered, yet pragmatic approach fully equips students to derive the benefit and meaning of a regression analysis. This text is designed to serve in a second undergraduate course in statistics, focusing on regression and its component features. The material presented in this text will build from a foundation of the principles of data analysis. Although previous exposure to statistical concepts would prove helpful, all the material needed for an examination of regression analysis is presented here in a clear and complete form.
Data Analysis for Business, Economics, and Policy
Author: Gábor Békés
Publisher: Cambridge University Press
ISBN: 1108483011
Category : Business & Economics
Languages : en
Pages : 741
Book Description
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Publisher: Cambridge University Press
ISBN: 1108483011
Category : Business & Economics
Languages : en
Pages : 741
Book Description
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Student Solutions Manual for Dielman's Applied Regression Analysis
Author: Terry Dielman
Publisher: South-Western College
ISBN: 9780534465506
Category : Commercial statistics
Languages : en
Pages : 176
Book Description
Provides worked-out solutions to odd-numbered problems in the text.
Publisher: South-Western College
ISBN: 9780534465506
Category : Commercial statistics
Languages : en
Pages : 176
Book Description
Provides worked-out solutions to odd-numbered problems in the text.