Chapter 5: Simple regression
- 5/1 Regression methods
- 5/2 Simple regression
- 5/2/1 Least squares estimation
- 5/2/2 The correlation coefficient
- 5/2/3 Cautions in using correlation
- 5/2/4 Simple regression and the correlation coefficient
- 5/2/5 Residuals, outliers and influential observations
- 5/2/6 Correlation and causation
- 5/3 Inference and forecasting with simple regression
- 5/3/1 Regression as statistical modeling
- 5/3/2 The F-test for overall significance
- 5/3/3 Confidence intervals for individual coefficients
- 5/3/4 t-tests for individual coefficients
- 5/3/5 Forecasting using the simple regression model
- 5/4 Non-linear relationships
- 5/4/1 Non-linearity in the parameters
- 5/4/2 Using logarithms to form linear models
- 5/4/3 Local regression
- Appendixes
- 5-A Determining the values of a and b
- References and selected bibliography
- Exercises
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