REGRESSION ANALYSIS (2/1 SCU)

Learning Outcomes:

On successful completion of this course, students will be able to: calculate statistical measurement related to regression analysis; apply regression method to solve problem; use R software as a tool in analyzing data.

Topics:

1. Simple Linear Regression;
2. Multiple Linear Regression;
3. Model Adequacy Checking;
4. Transformations and Weighting to Correct Model Inadequacies;
5. Diagnostics for Leverage and Influence;
6. Indicator Variables; Variable Selection and Model Building;
7. Simple Linear Regression;
8. Multiple Linear Regression;
9. Model Adequacy Checking;
10. Transformations and Weighting to Correct Model Inadequacies;
11. Diagnostics for Leverage and Influence;
12. Indicator Variables;
13. Variable Selection and Model Building.