Explore linear regression analysis and forecasting techniques in this comprehensive 12-hour course. Learn about simple and multiple linear regression models, parameter estimation, hypothesis testing, confidence interval estimation, and diagnostics. Master software implementation using MINITAB for both simple and multiple regression models. Discover standardized regression coefficients, maximum likelihood estimation, and goodness of fit measures. Gain practical skills in within-sample and outside-sample forecasting, and apply your knowledge through hands-on MINITAB exercises. Develop a strong foundation in statistical modeling and regression analysis for effective data interpretation and prediction.
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
