# Regression Analysis

- Institution: IISER Pune
- Department: Mathematics
- Teacher: Prof. Soumen Maity
- Level: Undergraduate
- Language: English
- Subjects: Mathematics
- Source: [NPTEL](https://nptel.ac.in/courses/111105042)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/111105042)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

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.

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

Prerequisites: Probability and Statistics

## Lectures

1. [Simple Linear Regression(Part A)](https://invisiblenetwork.ai/learn/nptel/111105042/48a21974cef3) (YouTube)
2. [Simple Linear Regression (Part B)](https://invisiblenetwork.ai/learn/nptel/111105042/ca9df3226704) (YouTube)
3. [Simple Linear Regression (Part C)](https://invisiblenetwork.ai/learn/nptel/111105042/0d1a1b4cc5d2) (YouTube)
4. [Simple Linear Regression (Part D)](https://invisiblenetwork.ai/learn/nptel/111105042/61bd8bb60fbf) (YouTube)
5. [Simple Linear Regression (Part E)](https://invisiblenetwork.ai/learn/nptel/111105042/16ad83f142e7) (YouTube)
6. [Multiple Linear Regression (Part A)](https://invisiblenetwork.ai/learn/nptel/111105042/512fbc0fae06) (YouTube)
7. [Multiple Linear Regression (Part B)](https://invisiblenetwork.ai/learn/nptel/111105042/a8e9cdc1e8a2) (YouTube)
8. [Multiple Linear Regression (Part C)](https://invisiblenetwork.ai/learn/nptel/111105042/793a72a1c263) (YouTube)
9. [Multiple Linear Regression (Part D)](https://invisiblenetwork.ai/learn/nptel/111105042/e009d318342d) (YouTube)
10. [Selecting the BEST Regression Model (Part A)](https://invisiblenetwork.ai/learn/nptel/111105042/3270b303b14f) (YouTube)
11. [Selecting the BEST Regression Model (Part B)](https://invisiblenetwork.ai/learn/nptel/111105042/66986494aa56) (YouTube)
12. [Selecting the BEST Regression Model (Part C)](https://invisiblenetwork.ai/learn/nptel/111105042/9c4cc2894e71) (YouTube)
13. [Selecting the BEST Regression Model (Part D)](https://invisiblenetwork.ai/learn/nptel/111105042/c1f2867868eb) (YouTube)
14. [Multicollinearity (Part A)](https://invisiblenetwork.ai/learn/nptel/111105042/0329559e0361) (YouTube)
15. [Multicollinearity (Part B)](https://invisiblenetwork.ai/learn/nptel/111105042/2d2bf5dcf2c1) (YouTube)
16. [Multicollinearity (Part C)](https://invisiblenetwork.ai/learn/nptel/111105042/44b87359613d) (YouTube)
17. [Model Adequacy Checking (Part A)](https://invisiblenetwork.ai/learn/nptel/111105042/a62ece9b9e9d) (YouTube)
18. [Model Adequacy Checking (Part B)](https://invisiblenetwork.ai/learn/nptel/111105042/b19a5af7db6b) (YouTube)
19. [Model Adequacy Checking (Part C)](https://invisiblenetwork.ai/learn/nptel/111105042/066c3d85e8ed) (YouTube)
20. [Test for Influential Observations](https://invisiblenetwork.ai/learn/nptel/111105042/3b95f24023b7) (YouTube)
21. [Transformation and Weighting to correct model inadequacies (Part A)](https://invisiblenetwork.ai/learn/nptel/111105042/b08eab4d365e) (YouTube)
22. [Transformation and Weighting to correct model inadequacies (Part B)](https://invisiblenetwork.ai/learn/nptel/111105042/1cdc4757dead) (YouTube)
23. [Transformation and Weighting to correct model inadequacies (Part C)](https://invisiblenetwork.ai/learn/nptel/111105042/38f63bc597c5) (YouTube)
24. [Dummy Variables (Part A)](https://invisiblenetwork.ai/learn/nptel/111105042/4cefcc41d488) (YouTube)
25. [Dummy Variables (Part B)](https://invisiblenetwork.ai/learn/nptel/111105042/7418e9620ef0) (YouTube)
26. [Dummy Variables (Part C)](https://invisiblenetwork.ai/learn/nptel/111105042/60d3805bbc7a) (YouTube)
27. [Polynomial Regression Models (Part A)](https://invisiblenetwork.ai/learn/nptel/111105042/ca68de5cd817) (YouTube)
28. [Polynomial Regression Models (Part B)](https://invisiblenetwork.ai/learn/nptel/111105042/0540be6c0c45) (YouTube)
29. [Polynomial Regression Models (Part C)](https://invisiblenetwork.ai/learn/nptel/111105042/0b790eb1cf43) (YouTube)
30. [Generalized Linear Model (Part A)](https://invisiblenetwork.ai/learn/nptel/111105042/5ee00e2b1b02) (YouTube)
31. [Generalized Linear Model (Part B)](https://invisiblenetwork.ai/learn/nptel/111105042/be35e29dd405) (YouTube)
32. [Non-Linear Estimation](https://invisiblenetwork.ai/learn/nptel/111105042/66a05845c420) (YouTube)