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Introductory Regression Analysis

with Computer Application for Business and Economics

By Allen Webster

Published December 3rd 2012 by Routledge – 478 pages

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  • Paperback: 978-0-415-89933-8: $69.95 Add to Cart
  • Hardback: 978-0-415-89932-1: $100.00 Add to Cart
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Description

This text is designed to help students fully understand regression analysis, its components, and its uses. Taking into consideration current statistical technology, it 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.

Contents

1. Review of Basic Concepts 2. An Introduction to Regression and Correlation Analysis 3. Statistical Inferences in the Simple Regression Model 4. Multiple Regression: Using Two or More Predictor Variables 5. Residual Analysis and Model Specification 6. Using Qualitative and Limited Dependent Variables 7. Heteroscedasticity 8. Autocorrelation 9. Non-Linear Regression and the Selection of the Proper Functional Form 10. Simultaneous Equations: Two Stage Least Squares 11. Forecasting with Time Series Data and Distributed Lag Models

Author Bio

Allen Webster is a Professor at Bradley University. He gained his Ph.D. in Economics from Florida State University, and both an M.S. and B.S. in Economics from Fort Hays State University.

eResources

Name: Introductory Regression Analysis: with Computer Application for Business and Economics (Paperback) – Routledge 
Description: By Allen Webster. This text is designed to help students fully understand regression analysis, its components, and its uses. Taking into consideration current statistical technology, it focuses on the use and interpretation of software, while also demonstrating the logic,...
Categories: Research Methods in Management, Applied Mathematics, Financial Mathematics, Mathematical Finance, Research Methods - Soc. Policy, Operational Research / Management Science