Regression Analysis: A Constructive Critique
Regression Analysis: A Constructive Critique identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved. Regression is most useful for data reduction, leading to relatively simple but rich and precise descriptions of patterns in a data set. The emphasis on description provides readers with an insightful rethinking from the ground up of what regression analysis can do, so that readers can better match regression analysis with useful empirical questions and improved policy-related research.
"An interesting and lively text, rich in practical wisdom, written for people who do empirical work in the social sciences and their graduate students."
--David A. Freedman, Professor of Statistics, University of California, Berkeley
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Simple Linear Regression
Statistical Inference for Simple Linear Regression
Causal Inference for the Simple Linear Model
The Formalities of Multiple Regression
Using and Interpreting Multiple Regression
Some Popular Extensions of Multiple Regression
Some Regression Diagnostics