People Innovation Excellence

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.

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