Course11110409824 lectures
Linear Regression Analysis and Forecasting
Prof. Shalabh · IIT Kanpur
Lectures
Unit 1: Basic fundamentals, Simple linear regression analysis
- 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)
Unit 2: Simple linear regression analysis, Multiple linear regression analysis.
- 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
Unit 3: Multiple linear regression analysis. Diagnostics in multiple linear regression analysis
- 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)
Unit 4: Forecasting in linear regression models
- 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.
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Kanpur
- Department
- Mathematics
- Teacher
- Prof. Shalabh
- Level
- Undergraduate
- Language
- English
- Subjects
- Mathematics
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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