Learn · Linear Regression Analysis and Forecasting
Lecture 1 of 24Unit 1: Basic fundamentals, Simple linear regression analysis
Lecture 01 - Basic Fundamental Concepts Of Modelling.
Prof. Shalabh · IIT Kanpur
Credits and licence
- From
- Linear Regression Analysis and Forecasting, IIT Kanpur (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- Tweens profiles and older. How courses are placed
All the lectures
- Lecture 01 - Basic Fundamental Concepts Of Modelling.
- Lecture 02 - Regression Model - A Statistical Tool
- Lecture 03 - Simple Linear Regression Analysis
- Lecture 04 - Estimation Of Parameters In Simple Linear Regression Model
- Lecture 05 - Estimation Of Parameters In Simple Linear Regression Model (continued) : Some Nice Properties
- Lecture 06 - Estimation Of Parameters In Simple Linear Regression Model (continued)
- Lecture 07 - Maximum Likelihood Estimation of Parameters in Simple Linear Regression Model
- Lecture 08 - Testing of Hypotheis and Confidence Interval Estimation in Simple Linear Regression Model
- Lecture 09 - 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.