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Index
SAGE UNIVERSITY PAPERS
Title Page
Copyright Page
Introduction
Acknowledgements
1. BIVARIATE REGRESSION: FITTING A STRAIGHT LINE
Exact Versus Inexact Relationships
The Least Squares Principle
The Data
The Scatterplot
The Slope
The Intercept
Prediction
Assessing Explanatory Power: The R
R Versus r
2. BIVARIATE REGRESSION: ASSUMPTIONS AND INFERENCES
The Regression Assumptions
Confidence Intervals and Significance Tests
The One-Tailed Test
Significance Testing: A Rule of Thumb
Reasons Why a Parameter Estimate May Not Be Significant
The Prediction Error for Y
Analysis of Residuals
The Effect of Safety Enforcement on Coal Mining Fatalities: A Bivariate ...
3. MULTIPLE REGRESSION
The General Equation
Interpreting the Parameter Estimates
Confidence Intervals and Significance Tests
The R
Predicting Y
The Possibility of Interaction Effects
A Four-Variable Model: Overcoming Specification Error
The Multicollinearity Problem
High Multicollinearity: An Example
The Relative Importance of the Independent Variables
Extending the Regression Model: Dummy Variables
Determinants of Coal Mining Fatalities: A Multiple Regression Example
What Next?
NOTES
REFERENCES
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