Show Summary Details
- Title Pages
- Dedication
- Tables and Figures
- Preface
-
Chapter 1 What is a Regression? -
Chapter 2 The Essential Tool -
Chapter 3 Covariance and Correlation -
Chapter 4 Fitting a Line -
Chapter 5 From Sample to Population -
Chapter 6 Confidence Intervals and Hypothesis Tests -
Chapter 7 Inference in Ordinary Least Squares -
Chapter 8 What If the Disturbances Have Nonzero Expectations or Different Variances? -
Chapter 9 What If the Disturbances Are Correlated? -
Chapter 10 What If the Disturbances and the Explanatory Variables Are Related? -
Chapter 11 What If There Is More Than One X? -
Chapter 12 Understanding and Interpreting Regression with Two x's -
Chapter 13 Making Regression More Flexible -
Chapter 14 More Than Two Explanatory Variables -
Chapter 15 Categorical Dependent Variables - Epilogue
- Appendix
- References
- Index
(p.xv) Tables and Figures
(p.xv) Tables and Figures
- Source:
- Introductory Econometrics
- Publisher:
- Stanford University Press
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- Title Pages
- Dedication
- Tables and Figures
- Preface
-
Chapter 1 What is a Regression? -
Chapter 2 The Essential Tool -
Chapter 3 Covariance and Correlation -
Chapter 4 Fitting a Line -
Chapter 5 From Sample to Population -
Chapter 6 Confidence Intervals and Hypothesis Tests -
Chapter 7 Inference in Ordinary Least Squares -
Chapter 8 What If the Disturbances Have Nonzero Expectations or Different Variances? -
Chapter 9 What If the Disturbances Are Correlated? -
Chapter 10 What If the Disturbances and the Explanatory Variables Are Related? -
Chapter 11 What If There Is More Than One X? -
Chapter 12 Understanding and Interpreting Regression with Two x's -
Chapter 13 Making Regression More Flexible -
Chapter 14 More Than Two Explanatory Variables -
Chapter 15 Categorical Dependent Variables - Epilogue
- Appendix
- References
- Index