Introduction. I. DATA AND DESCRIPTION. 2. Economic Data. 3. Descriptive Statistics. 4. Frequency Distributions. II. SPECIFICATION AND ESTIMATION OF REGRESSION MODELS. 5. Simple Regression: Theory. 6. Simple Regression: Application. 7. Multiple Regression: Theory and Application. III. PROBABILITY DISTRIBUTIONS. 8. Probability Theory. 9. Random Variables and Probability Distributions. 10. The Normal and t Distributions. IV. INFERENCE IN REGRESSION. 11. Sampling Theory in Regression. 12. Hypothesis Testing. 13. Estimation and Regression Problems. V. TOPICS IN ECONOMETRICS. 14. F Tests and Dummy Variable Outcomes. 15. Heteroscedasticity and Autocorrelation. 16. Regression and Time Series. 17. Simultaneous-Equation Models. VI. TOPICS IN STATISTICS. 18. Inference for the Mean and Variance. 19. Chi-Square Tests and Analysis of Variance. Statistical Tables. Answers to Selected Problems. Bibliography. Index.
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Buse et al. (1984) studied this question.