Course abstract
Regression Analysis is a widely used statistical technique for estimating the relationships between independent variables and a dependent (response or outcome) variable. Regression models are used to predict and forecast outcomes. In this online course, you will learn how to derive simple and multiple linear regression models, learn what assumptions underline the models, learn how to test whether your data satisfy those assumptions and what can be done when those assumptions are not met, and develop strategies for building best models. We will also learn how to build polynomial regression models.
Course Instructor
Prof. Soumen Maity
Soumen Maity is an Associate Professor of Mathematics at Indian Institute of Science Education and Research (IISER) Pune. He received a PhD from theTheoretical Statistics & Mathematics Unit at Indian Statistical Institute (ISI) Kolkata, India in 2002. He has postdoctoral experience from Lund University,Sweden; Indian Institute of Management (IIM) Kolkata, India; and University of Ottawa, Canada. Prior to joining IISER Pune in 2009, he worked as Assistant Professor at IIT Guwahati and IIT Kharagpur.More info
Teaching Assistant(s)
No teaching assistant data available for this course yetCourse Duration : Feb-Apr 2017
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Syllabus
Enrollment : 01-Jan-2017 to 20-Feb-2017
Exam registration : 30-Jan-2017 to 27-Feb-2017
Exam Date : 23-Apr-2017
Enrolled
947
Registered
32
Certificate Eligible
18
Certified Category Count
Gold
2
Elite
11
Successfully completed
5
Participation
5
Success
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Category : Successfully Completed
Elite
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Category : Elite
Gold
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Category : Gold
Legend
>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate
Final Score Calculation Logic
- Assignment Score = Average of best 6 out of 8 assignments.
- Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Regression Analysis - Toppers list
Enrollment Statistics
Total Enrollment: 947
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