This course aims to teach students the concepts and techniques of linear regression analysis and forecasting. By the end of the course, learners will be able to understand standardized regression coefficients, conduct hypothesis testing, estimate model parameters, and implement regression models using software like MINITAB. The teaching method involves a combination of theoretical concepts and practical software implementation. This course is intended for individuals interested in statistical analysis, forecasting, and modeling.
Overview
Syllabus
Standardized Regression Coefficients and Testing of Hypothesis.
Simple Linear Regression Analysis.
Software Implementation in Simple Linear Regression Model using MINITAB.
Estimation of Model Parameters in Multiple Linear Regression Model (Continued).
Regression Model - A Statistical Tool.
Testing of Hypothesis and Confidence Interval Estimation in Simple Linear Regression Model.
Estimation of Model Parameters in Multiple Linear Regression Model.
Basic Fundamental concepts of modelling.
Testing of Hypothesis and Confidence Interval Estimation in Simple Linear Regression Model.
Maximum Likelihood of Parameters in Simple Linear Regression Model.
Diagnostics in Multiple Linear Regression Model (continued).
Estimation of Parameters in Simple Linear Regression Model(continued):Some nice properties.
Estimation of Parameters in Simple Linear Regression Model(continued).
Diagnostics in Multiple Linear Regression Model.
Estimation of Parameters in Simple Linear Regression Model.
Multiple Linear Regression Model.
Testing of Hypothesis (continued) and Goodness of Fit of the model.
Within sample forecasting.
Forecasting in Multiple linear Regression Model.
Software Implementation in Multiple Linear Regression Model using MINITAB (continued).
Software Implementation in Multiple Linear Regression Model using MINITAB.
Diagnostics in Multiple Linear Regression Model (continued).
Outside Sample Forecasting.
Software Implementation of Forecasting using MINITAB.
Taught by
Ch 30 NIOS: Gyanamrit
