Regression Analysis


Lecture 1 - Simple Linear Regression


Lecture 2 - Simple Linear Regression (Continued...1)


Lecture 3 - Simple Linear Regression (Continued...2)


Lecture 4 - Simple Linear Regression (Continued...3)


Lecture 5 - Simple Linear Regression (Continued...4)


Lecture 6 - Multiple Linear Regression


Lecture 7 - Multiple Linear Regression (Continued...1)


Lecture 8 - Multiple Linear Regression (Continued...2)


Lecture 9 - Multiple Linear Regression (Continued...3)


Lecture 10 - Selecting the BEST Regression model


Lecture 11 - Selecting the BEST Regression model (Continued...1)


Lecture 12 - Selecting the BEST Regression model (Continued...2)


Lecture 13 - Selecting the BEST Regression model (Continued...3)


Lecture 14 - Multicollinearity


Lecture 15 - Multicollinearity (Continued...1)


Lecture 16 - Multicollinearity (Continued...2)


Lecture 17 - Model Adequacy Checking


Lecture 18 - Model Adequacy Checking (Continued...1)


Lecture 19 - Model Adequacy Checking (Continued...2)


Lecture 20 - Test for Influential Observations


Lecture 21 - Transformations and Weighting to correct model inadequacies


Lecture 22 - Transformations and Weighting to correct model inadequacies (Continued...1)


Lecture 23 - Transformations and Weighting to correct model inadequacies (Continued...2)


Lecture 24 - Dummy Variables


Lecture 25 - Dummy Variables (Continued...1)


Lecture 26 - Dummy Variables (Continued...2)


Lecture 27 - Polynomial Regression Models


Lecture 28 - Polynomial Regression Models (Continued...1)


Lecture 29 - Polynomial Regression Models (Continued...2)


Lecture 30 - Generalized Linear Models


Lecture 31 - Generalized Linear Models (Continued.)


Lecture 32 - Non-Linear Estimation


Lecture 33 - Regression Models with Autocorrelated Errors


Lecture 34 - Regression Models with Autocorrelated Errors (Continued.)


Lecture 35 - Measurement Errors & Calibration Problem


Lecture 36 - Tutorial - I


Lecture 37 - Tutorial - II


Lecture 38 - Tutorial - III


Lecture 39 - Tutorial - IV


Lecture 40 - Tutorial - V