UI MOOCs
Model Linear
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Model Linear
Kontrak Kuliah
Buku Rancangan Pengajaran
Satuan Acara Perkuliahan
Pusat bantuan pembelajar
Announcements
Week 1: Introduction to Linear Regression
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
Week 2: Simple Linear Model_Part 1
Module 2: Simple Linear Model_part 1
Video: What is meant by linear in linear model?
Discussion Forum Week 2
Week 3: Simple Linear Model_Part 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
Week 4: Simple Linear Model_Part 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
Week 5: Simple linear regression_Part 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
Week 6: Multiple linear regression_part 1
Module 6: Multiple linear regression_part 1
Slides: Multiple linear regression
Video: Multiple linear model with numerical predictors
Discussion Forum Week 6
Week 7: Multiple Linear Regression_Part 2
Module 7: Multiple Linear Regression_Part 2
Video: Multiple linear model with categorical predictors
Post-test 3
Discussion Forum Week 7
Week 8: Mid-term Exam
UTS
Upload your working paper HERE
Week 9: Multiple Linear Regression_Part 3
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
Week 10: Model building
Module: Model building
Video: Model building _ An Overview
Discussion Forum Week 10
Post-test 4
Week 11: Model validation
Discussion Forum Week 11
Video: Model validation - motivation
Video: Model validation - Procedure and metrics
Week 12: Variable selection
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
Week 13: Some regression pitfalls
Module: Some regression pitfalls
Video: Multicollinearity (1/2)_math concept
Video: Multicollinearity (2/2)_visualization
Discussion Forum Week 13
Week 14: Model diagnostics
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
Week 15: Model diagnostics_(continued) & Logistic regression
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
Week 16: Final Exam
Final Exam Questions
Upload your working paper HERE
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Model Linear
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Model Linear
Summary
Model Linear
Teacher:
Sarini Abdullah, M.Stats, PhD
Skill Level
:
Beginner