Applied Regression: An Introduction (Quantitative Applications in the Social Sciences) by Colin Lewis-Beck

by Michael S. Lewis-Beck

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 analysis of residuals, interaction effects, specification error, multicollinearity, standardized coefficients, and dummy variables.

Paperback Bunko

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.