[R-sig-teaching] Regression textbooks

[Adams, Zeno]

In my view there is no better book for regression (including
interactions, categorical variables, and elementary GLMs) than Jeffrey
Wooldridge (2008), Introductory Econometrics: A Modern Approach, 4th ed.

Where I work this book is sort of the bible for Econometrics.

Zeno

-----Original Message-----
From: r-sig-teaching-bounces at r-project.org
[mailto:r-sig-teaching-bounces at r-project.org] On Behalf Of Paul Johnson
Sent: Dienstag, 22. November 2011 21:20
To: r-sig-teaching at r-project.org
Subject: [R-sig-teaching] Regression textbooks

What regression textbooks are you using in stat courses that introduce
regression?  I'm looking for something with approximately the same
intended scope as Cohen, Cohen, West and Aiken, Applied Multiple
Regression.  That presents OLS, interactions, categorical variables,
and elementary GLM (logit, poisson).    In our second regression
course, we work in more detail with John Fox's Applied Regression and
the Companion book.  Leading up to that, I need some book that is a
bit more applied in nature, with examples from various fields of
study. Something about 200 pages long that ends with a chapter on
logistic regression would be fine.  There was a book called Regression
Analysis By Example, by Samprit Chatterjee, Ali S. Hadi and Bertram
Price, was headed in the right direction, but it seems not to be in
development any more.

If it has R example code for certain basic analysis, it would be
perfect.

Suggestions?

-- 
Paul E. Johnson
Professor, Political Science
1541 Lilac Lane, Room 504
University of Kansas

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