| Edition |
Second edition. |
| Description |
1 online resource (xi, 179 pages) |
|
text rdacontent |
|
computer rdamedia |
|
online resource rdacarrier |
| Series |
Quantitative approaches to decision making collection, 2163-9582 |
|
Quantitative approaches to decision making collection. 2163-9582
|
| Note |
Includes index. |
| Contents |
Introduction -- 1. Correlation analysis -- 2. Simple regression -- 3. Multiple regression -- 4. Model building -- Notes -- Index. |
| Access |
Access restricted to authorized users and institutions. |
| Summary |
This book describes the use of the statistical procedure called multiple regression in business situations, including forecasting and understanding the relationships between variables. The book assumes a basic understanding of statistics but reviews correlation analysis and simple regression to prepare the reader to understand and use multiple regression. The techniques described in the book are illustrated using both Microsoft Excel and a professional statistical program. Along the way, several real-world data sets are analyzed in detail to better prepare the reader for working with actual data in a business environment. This book will be a useful guide to managers at all levels who need to understand and make decisions based on data analysis performed using multiple regression. It also provides the beginning analyst with the detailed understanding required to use multiple regression to analyze data sets. |
| Note |
Title from PDF title page (viewed on January 26, 2015). |
| Subject |
Regression analysis.
|
|
Commercial statistics.
|
| Indexed Term |
correlation |
|
forecasting |
|
model building |
|
multiple regression |
|
regression |
| Genre/Form |
Electronic books.
|
| Other Form: |
Print version: 9781631570599 |
| ISBN |
9781631570599 paperback |
|
9781631570605 (electronic bk.) |
|
