Regression analysis is one of the most powerful methods in statistics for determining the relationships between variables and using these relationships to forecast future observations. The foundation of regression analysis is very helpful for any kind of modelling exercises. Regression models are used to predict and forecast future outcomes. Its popularity in finance is very high; it is also very popular in other disciplines like life and biological sciences, management, engineering, etc. 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 create dummy variables and interpret their effects in multiple regression analysis; to build polynomial regression models and generalized linear models.
Important For Certification/Credit Transfer:
Weekly Assignments and Discussion Forum can be accessed ONLY by enrolling here
Scroll down to Enroll
Note: Content is Free!
All content including discussion forum and assignments, is free
Final Exam (in-person, invigilated, currently conducted in India) is mandatory for Certification and has INR Rs. 1100 as exam fee.
INTENDED AUDIENCE B.Sc, M.Sc, B.Tech, M.Tech
PREREQUISITES Probability and Statistics CORE/ELECTIVE ELECTIVE
INDUSTRIES BENEFITS It will be recognized by several industries & academic institutes
1531 students have enrolled already!!
COURSE INSTRUCTOR:
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.
COURSE LAYOUT
Week 1 Simple Linear Regression (Part A, B, C) Week 2 Simple Linear Regression (Part D, E) Week 3 Multiple Linear Regression (Part A, B, C) Week 4 Multiple Linear Regression (Part D) Selecting the best regression equation (Part A, B) Week 5 Selecting the best regression equation (Part C, D) Week 6 Multicollinearity (Part A, B, C) Week 7 Model Adequacy Checking (Part A, B, C) Week 8 Test for influential observations Transformations and weighting to correct model inadequacies (Part A) Week 9 Transformations and weighting to correct model inadequacies (Part B, C) Week 10 Dummy variables (Part A, B, C) Week 11 Polynomial Regression Models (Part A, B, C) Week 12 Generalized Linear Model (Part A, B) Non-Linear Estimation
REFERENCE MATERIALS 1.Draper, N. R., and Smith, H. (1998), Applied Regression Analysis (3rd ed.), New York: Wiley. 2.Montgomery,
D. C., Peck, E. A., and Vining, G. (2001), Introduction to Linear
Regression Analysis (3rd ed.), Hoboken, NJ: Wiley.
CERTIFICATION EXAM :
The exam is optional for a fee.
Date of Exams : October 28 (Sunday)
Time of Exams : Morning session 9am to 12 noon; Afternoon session: 2pm to 5pm
Exam for this course will be available in both morning & afternoon sessions.
Registration url: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published.
CERTIFICATION:
Final score will be calculated as : 25% assignment score + 75% final exam score
25% assignment score is calculated as 25% of average of Best 8 out of 12 assignments
E-Certificate will be given to those who register and write the exam and score greater than or equal to 40% final score. Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Madras.It will be e-verifiable at nptel.ac.in/noc.
