Applied Regression (2nd ed.)

An Introduction

by Colin Lewis-Beck, Michael S. Lewis-Beck

Series: Quantitative Applications in the Social Sciences (No. 22)

Subject categories
ISBNs
  • 9781483381473
  • 9781483381466
  • 9781483381497

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. Authors Colin Lewis-Beck and Michael Lewis-Beck 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.

Subject categories
ISBNs
  • 9781483381473
  • 9781483381466
  • 9781483381497

In The Press

This is an excellent update and extension of a wonderfully clear exposition of bivariate and multiple regression analysis for beginning practitioners and students.  I was a fan of the first edition, and I am even more pleased with the revision.  

Subject categories
ISBNs
  • 9781483381473
  • 9781483381466
  • 9781483381497