Courses » Regression Analysis

Regression Analysis

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.

Intended Audience :
B.Sc, M.Sc, B.Tech, M.Tech

Probability and Statistics

Industry Support :
It will be recognized by several industries & academic institutes


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.


Dates of exams: 23 April 2017 
Time: Shift1 : 9am-12 noon;Shift 2: 2pm- 5pm
Any one shift can be chosen to write the exam for a course.
The list of cities where the exam will be conducted will be available in the registration form.
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. 


Final score will be calculated as : 25% assignment score + 75% final exam score
25% assignment score is calculated as 25% of average of best 3 out of 4 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


Simple linear regression (5 lectures),
Multiple linear regression (4 lectures),
Selecting the best regression equation (4 lectures),
model adequacy checking (3 lectures),
Test for influential observations (1 lecture),
Transformations and weighting to correct model inadequacies (3 lectures),
Polynomial regression models (3 lectures).

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.