Applied Regression: An Introduction

by Michael S. Lewis-Beck

Applied regression allows social scientists who are not specialists in quantitative techniques to arrive at clear verbal explanations of their numerical results. Provides a lucid discussion of more specialized subjects: analysis of residuals, interaction effects, specification error, multicollinearity, standardized coefficients, and dummy variables.

80 pages, Kindle Edition

First published August 1, 1980

About the author

Michael S. Lewis-Beck, Professor Emeritus, F. Wendell Miller Distinguished Professor, University of Iowa

Reviews

[Brad Lockerbie · Rating 5 out of 5]

This monograph is an excellent introduction to regression analysis. I had the benefit of having the author as a professor almost thirty years ago (does that make me feel kid or does it make him feel old). I still have this on my bookshelf. I still recommend it to those who want a gentle, yet solid understanding of OLS Regression.

[Debbie is on Storygraph · Rating 3 out of 5]

A very good introduction to statistics and regression. I've used this in two statistics courses now and it is very easy to understand. Not something I would read on my own, though and I found the subject matter rather boring.

[Steven Peterson · Rating 4 out of 5]

This is a nice brief introduction to regression. Regression is a work horse statistical technique, for instance in the social sciences. This is not written at an advanced level (see Tim Keith's published book on the subject for a more detailed, more technical discussion).

[Sai Ishwarya · Rating 5 out of 5]

I want to read this book because my prof said that its the best book to understand regression.

[Connor Oswald · Rating 5 out of 5]

Clear and concise basics.