4.1 Simple Linear Regression

• 4.1.1 Correlation
• 4.1.2 Regression Equations
• 4.1.3 Residuals Analysis

4.2 Multiple Regression Analysis

• 4.2.1 Non- Linear Regression
• 4.2.2 Multiple Linear Regression
• 4.2.3 Confidence & Prediction Intervals
• 4.2.4 Residuals Analysis
• 4.2.5 Data Transformation, Box Cox

4.3 Designed Experiments

• 4.3.1 Experiment Objectives
• 4.3.2 Experimental Methods
• 4.3.3 Experiment Design Considerations

4.4 Full Factorial Experiments

• 4.4.1 2k Full Factorial Designs
• 4.4.2 Linear & Quadratic Mathematical Models
• 4.4.3 Balanced & Orthogonal Designs
• 4.4.4 Fit, Diagnose Model and Center Points

4.5 Fractional Factorial Experiments

• 4.5.1 Designs
• 4.5.2 Confounding Effects
• 4.5.3 Experimental Resolution