[su_tab title = “Description”]
In this online course, you will learn how multiple linear regression models are derived, use software to implement them, learn what assumptions underlie the models, learn how to test whether your data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models.
[su_tab title = “Program Structure”]
- Week 1: Foundations and Simple Linear Regression
- Week 2: Multiple Linear Regression
- Week 3: Model Building I
- Week 4: Model Building II
January 23, 2015 to February 20, 2015
About 15 hours per week, at times of your choosing.
INR 35,340 (assuming $ = INR 60)
Part Time/Full Time:
[su_tab title = “Eligibility”]
Scientists, business analysts, engineers and researchers who need to model relationships in data in which a single response variable depends on multiple predictor variables. If you were introduced to regression in an introductory statistics course and now find you need a more solid grounding in the subject, this course is for you. If you are planning to learn additional topics in statistics, a good knowledge of regression is often essential.
[su_tab title =”Tools”]
[su_tab title = “Faculty”]
- Iain Pardoe
[su_tab title = “Contact”]