Chapter 3: Definitions
3.1 Note
3.2 Multiple Linear Regression
3.2.1 Parameter Calculation by Least Squares Minimization
3.2.2 Model Variance
3.2.3 Parameter Dispersion (Variance-Covariance) Matrix
3.2.4 Significance of the Model (Overall F Statistic)
3.2.5 Significance of Predictor Variables
3.2.6 Prediction Intervals
3.3 Logistic Regression
3.3.1 Parameter Calculation
3.3.2 Parameter Variances and Covariances
3.3.3 Significance of the Model
3.3.4 Parameter Significance (Wald Test)
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