TY  - GEN
AU  - Colin lewis beck
AU  - Michael Lewis-Beck
TI  - Applied regression an introduction
SN  - 9781483381473
U1  - 519.536 
PY  - 2016///
CY  - New Delhi
PB  - Sage
N1  - Series Editor's Introduction
 
Preface
 
Acknowledgments
 
About the Authors
  1. Bivariate Regression: Fitting a Straight Line    2. Bivariate Regression: Assumptions and Inferences    3. Multiple Regression: The Basics    4. Multiple Regression: Special Topics  
Appendix
 
References
 
Index
N2  - Known for its readability and clarity, this Second Edition of the best-selling Applied Regression provides an accessible introduction to regression analysis for social scientists and other professionals who want to model quantitative data. After covering the basic idea of fitting a straight line to a scatter of data points, the text uses clear language to explain both the mathematics and assumptions behind the simple linear regression model. The authors then cover more specialized subjects of regression analysis, such as multiple regression, measures of model fit, analysis of residuals, interaction effects, multicollinearity, and prediction. Throughout the text, graphical and applied examples help explain and demonstrate the power and broad applicability of regression analysis for answering scientific questions

ER  -