Courses » Linear Regression Analysis and Forecasting

Linear Regression Analysis and Forecasting

Forecasting is an important aspect of any experimental study. The forecasting can be done by finding the model between the input and output variables. The tools of linear regression analysis help in finding out a statistical model between input variables and output variable which in turn provides forecasting. For example, the yield of a crop depends upon the area of crop, quantity of seeds, rainfall etc. The statistical relation between yield and area of crop, quantity of seeds, rainfall etc. can be determined by the regression analysis and forecasting can be done to know the yield in future. The accuracy of forecasting depends upon the goodness of obtained model. What are its steps and checks required to obtain a good model and in turn, how to do forecasting is being aimed to be taught in this course.

Intended Audience
UG students of Science and Engineering. Students of humanities with basic mathematical and statistical background can also do it. Working professionals in analytics can also do it.

Prerequisite
Mathematics background up to class 12 is needed. Some minor statistics background is desirable.

Industries that will recognize this course
All industries having R & D set up will use this course.

Course instructor

Dr. Shalabh is a Professor of Statistics at IIT Kanpur. His research areas of interest are linear models, regression analysis and econometrics. He has more than 22 years of experience in teaching and research. He has developed several web based NPTEL courses including on regression analysis and has conducted several workshops on statistics for teachers, researchers and practitioners. He has received several national and international award and fellowships. He has authored more than 70 research papers in national and international journals. He has written four books and one of the book on linear models is coauthored with Prof. C.R. Rao.

Course layout

Week 1:
Basic fundamentals, Simple linear regression analysis.
Week 2: Simple linear regression analysis, Multiple  linear regression analysis.
Week 3: Multiple linear regression analysis. Diagnostics in multiple  linear regression analysis.
Week 4:
Forecasting in linear regression models.

1. Introduction to Linear Regression Analysis by Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining (Wiley), Low price Indian edition is available.
2. Applied Regression Analysis by Norman R. Draper, Harry Smith(Wiley), Low price Indian edition is available.

Course url:Course duration : 4 weeks
Start date and end date of course: 23 January 2017-17 February 2017
Date of exam:  26 March, 2017
Time of exam: Shift 1: 9am-12noon; Shift 2: 2pm-5pm
Any one shift can be chosen to write the exam for a course

Final List of exam cities will be available in exam registration form.
Registration url - Announcements will be made when the registration form is open for registrations.
Exam Fee: The online registration form has to be filled and the certification exam fee of approximately Rs 1000 needs to be paid.

Certificate

E-Certificate will be given to those who register and write the exam and score greater than or equal to 40% final score.

Final score = 25% assignment score + 75% exam score 25% assignment score is calculated as 25% of average of scores of Best 3 out of 4 assignments

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 Kanpur. It will be e-verifiable at
nptel.ac.in/noc.