ABOUT THE COURSE
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.