NOC:Linear Regression Analysis and Forecasting


Lecture 1 - Basic Fundamental Concepts Of Modelling


Lecture 2 - Regression Model - A Statistical Tool


Lecture 3 - Simple Linear Regression Analysis


Lecture 4 - Estimation Of Parameters In Simple Linear Regression Model


Lecture 5 - Estimation Of Parameters In Simple Linear Regression Model (Continued...) : Some Nice Properties


Lecture 6 - Estimation Of Parameters In Simple Linear Regression Model (Continued...)


Lecture 7 - Maximum Likelihood Estimation of Parameters in Simple Linear Regression Model


Lecture 8 - Testing of Hypotheis and Confidence Interval Estimation in Simple Linear Regression Model


Lecture 9 - Testing of Hypotheis and Confidence Interval Estimation in Simple Linear Regression Model (Continued...)


Lecture 10 - Software Implementation in Simple Linear Regression Model using MINITAB


Lecture 11 - Multiple Linear Regression Model


Lecture 12 - Estimation of Model Parameters in Multiple Linear Regression Model


Lecture 13 - Estimation of Model Parameters in Multiple Linear Regression Model (Continued...)


Lecture 14 - Standardized Regression Coefficients and Testing of Hypothesis


Lecture 15 - Testing of Hypothesis (Continued...) and Goodness of Fit of the Model


Lecture 16 - Diagnostics in Multiple Linear Regression Model


Lecture 17 - Diagnostics in Multiple Linear Regression Model (Continued...)


Lecture 18 - Diagnostics in Multiple Linear Regression Model (Continued...)


Lecture 19 - Software Implementation of Multiple Linear Regression Model using MINITAB


Lecture 20 - Software Implementation of Multiple Linear Regression Model using MINITAB (Continued...)


Lecture 21 - Forecasting in Multiple Linear Regression Model


Lecture 22 - Within Sample Forecasting


Lecture 23 - Outside Sample Forecasting


Lecture 24 - Software Implementation of Forecasting using MINITAB