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. INDICE 1. Prologue: Regression Analysis as Problematic 2. A Grounded Introduction to Regression Analysis 3. Simple Linear Regression 4. Statistical Inference for Simple Linear Regression 5. Causal Inference for the Simple Linear Model 6. The Formalities of Multiple Regression 7. Using and Interpreting Multiple Regression 8. Some Popular Extensions of Multiple Regression 9. Some Regression Diagnostics 10. Further Extensions of Regression Analysis 11. What to Do