A basic understanding of multiple regression is helpful in carrying out good business practices--specifically in the areas of demand management and data analysis. This book on correlation and regression analysis will have a non-mathematical, applied, data-analytic approach. Readers will benefit from its practitioner language and frequent use of examples. Multiple regression is at the heart of business data analysis because it deals with explanations of why data behaves the way it does and correlations demonstrating this behavior. The applied emphasis of the book provides clear illustrations of these principles and offers complete examples of the types of applications that are possible, including how to arrive at basic forecasts when the abs...
This highly anticipated second edition features new chapters and sections, 225 new references, and c...
Revised and updated third edition offers a broader range of material Wide scope of methods and appli...
The text explores ways to describe data and the relationships found in data. It covers basic probabi...
A basic understanding of multiple regression is helpful in carrying out good business practicesspeci...
The technique of regression analysis is used so often in business and economics today that an unders...
The technique of regression analysis is used so often in business and economics today that an unders...
Regression Analysis: Unified Concepts, Practical Applications, Computer Implementation is a concise ...
Regression analysis can be used to establish causal relationships between factors and the response v...
Traditional marketing strategies are no longer practical to implement because the process requires m...
Regression Analysis is a statistical technique or tool for evaluating, investigating, modelling or e...
Regression analysis is the most commonly used statistical method in the world. Although few would ch...
Multiple regression analysis is a statistical technique for analyzing linear relationships between a...
The aim of this study is to introduce the reader to the topic of Multiple Linear Regression Analysis...
participant teams in the marketing simulation COMPETE to apply their knowledge of multiple regressio...
This chapter provides a brief and basic introduction to regression techniques and to the use of seve...
This highly anticipated second edition features new chapters and sections, 225 new references, and c...
Revised and updated third edition offers a broader range of material Wide scope of methods and appli...
The text explores ways to describe data and the relationships found in data. It covers basic probabi...
A basic understanding of multiple regression is helpful in carrying out good business practicesspeci...
The technique of regression analysis is used so often in business and economics today that an unders...
The technique of regression analysis is used so often in business and economics today that an unders...
Regression Analysis: Unified Concepts, Practical Applications, Computer Implementation is a concise ...
Regression analysis can be used to establish causal relationships between factors and the response v...
Traditional marketing strategies are no longer practical to implement because the process requires m...
Regression Analysis is a statistical technique or tool for evaluating, investigating, modelling or e...
Regression analysis is the most commonly used statistical method in the world. Although few would ch...
Multiple regression analysis is a statistical technique for analyzing linear relationships between a...
The aim of this study is to introduce the reader to the topic of Multiple Linear Regression Analysis...
participant teams in the marketing simulation COMPETE to apply their knowledge of multiple regressio...
This chapter provides a brief and basic introduction to regression techniques and to the use of seve...
This highly anticipated second edition features new chapters and sections, 225 new references, and c...
Revised and updated third edition offers a broader range of material Wide scope of methods and appli...
The text explores ways to describe data and the relationships found in data. It covers basic probabi...