Lecture schedule
Week 1
Lesson 1: Introduction to regression
Week 2
Lesson 2: Simple linear regression
Lesson 3: Simple linear regression
Week 3
Lesson 4: Interpretation of Regression Outputs
Tutorial 1: click here
Week 4
Simple Linear Regression Analysis with R
Simple linear regression with R: R script
Week 5
Multiple Linear Regression Analysis
Multiple Linear Regression Analysis - ANOVA
Week 6
Mid-semester examination
Confidence Interval Estimation of the Mean Response vs. Prediction Interval
Transformations
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Variance-stabilization transformations
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Transformations to linearize the model
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Analytical methods for selecting a transformation
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Detection and treatment of outliers
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Diagnostics for leverage and influence
Week 7 - Week 8
Indicator Variables
Week 9
Variable Selection and Model Building
Multicollinearity
Week 10
See Google CLassroom for Questions and Past Papers