Course Content
- Start Date: 29/05/21
- Category: Mathematics and Natural Sciences
- Kontrak Kuliah
- Buku Rancangan Pengajaran
- Satuan Acara Perkuliahan
- Pusat bantuan pembelajar
- Announcements
- Module 1: Introduction to Regression Analysis
- Video 1_Intro to linear regression_part 1: some examples
- Video 2_Intro to linear regression_part 2: data types
- Video 3_Intro to linear regression_part 3: observational vs experimental
- Data examples
- R codes
- Discussion Forum Week 1
- Module 2: Simple Linear Model_part 1
- Video: What is meant by linear in linear model?
- Discussion Forum Week 2
- Module 3: Simple Linear Model_part 2
- Video 1: Zero mean error assumption
- Video 2: Normality assumption
- Post-test 1
- Discussion Forum Week 3
- Module 4: Simple Linear Model_part 3
- Video 1: Testing the Goodness of Fit of the Model
- Video 2: Testing the Goodness of Fit of the Model_R output example
- Discussion Forum Week 4
- Module 5: Simple linear regression_Part 4
- Module: Coefficient of correlation
- Module: Coefficient of Determination
- Module: Using the Model for Estimation and Prediction
- Module: A Complete Example of Simple Linear Regression
- Video 1: Coefficient of correlation
- Video 2: Coefficient of correlation and Regression
- Discussion Forum Week 5
- Post-test 2
- Module 6: Multiple linear regression_part 1
- Slides: Multiple linear regression
- Video: Multiple linear model with numerical predictors
- Discussion Forum Week 6
- Module 7: Multiple Linear Regression_Part 2
- Video: Multiple linear model with categorical predictors
- Post-test 3
- Discussion Forum Week 7
- UTS
- Upload your working paper HERE
- Module 9: Multiple linear regression_Part 3
- Video_opt: A test for comparing nested models
- Video_opt: Regression for categorical variables
- Video_opt: Quadratic regression
- Video_opt: Multiplicative regression
- Discussion Forum Week 9
- Module: Model building
- Video: Model building _ An Overview
- Discussion Forum Week 10
- Post-test 4
- Discussion Forum Week 11
- Video: Model validation - motivation
- Video: Model validation - Procedure and metrics
- Module: Variable selection
- Video: Variable selection - an overview
- Video: Variable selection - backward elimination
- Video: Variable selection - forward selection
- Video: Variable selection - stepwise procedure
- Video: Variable selection - cons for stepwise procedure
- Discussion Forum Week 12
- Post-test 5
- Module: Some regression pitfalls
- Video: Multicollinearity (1/2)_math concept
- Video: Multicollinearity (2/2)_visualization
- Discussion Forum Week 13
- Module: Errors and residuals
- Video: Errors and residuals
- Video: Residual analysis (1/4)_motivation
- Video: Residual analysis (2/4)_Detecting lack of fit
- Video: Residual analysis (3/4)_Detecting heteroscedasticity
- Video: Residual analysis (4/4)_Checking normality assumption
- Post-test 6
- Discussion Forum Week 14
- Module: Model diagnostics
- Video: Logistic regression (1/3)_searching for a link function
- Video: Logistic regression (2/3)_modelling probability
- Video: Logistic regression (3/3)_Interpreting odds ratio
- Discussion Forum Week 15
- Final Exam Questions
- Upload your working paper HERE