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Basic Fundamental Concepts Of Modelling.
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Classroom Contents
Linear Regression Analysis and Forecasting
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- 1 Basic Fundamental Concepts Of Modelling.
- 2 Regression Model-A Statistical Tool
- 3 Simple Linear Regression Analysis
- 4 Estimation Of Parameters In Simple Linear Regression Model
- 5 Estimation Of Parameters In Simple Linear Regression Model (continued) Some Nice Properties
- 6 Estimation Of Parameters In Simple Linear Regression Model (continued)
- 7 Maximum Likelihood Estimation of Parameters in Simple Linear Regression Model
- 8 Testing of Hypotheis and Confidence Interval Estimation in Simple Linear Regression Model
- 9 Testing of Hypotheis and Confidence Interval Estimation in Simple Linear Regression Model(Contd)
- 10 Software Implementation in Simple Linear Regression Model using MINITAB
- 11 Multiple Linear Regression Model
- 12 Estimation of Model Parameters in Multiple Linear Regression Model
- 13 Estimation of Model Parameters in Multiple Linear Regression Model (continued)
- 14 Standardized Regression Coefficients and Testing of Hypothesis
- 15 Testing of Hypothesis (continued) and Goodness of Fit of the Model
- 16 Diagnostics in Multiple Linear Regression Model
- 17 Diagnostics in Multiple Linear Regression Model (continued)
- 18 Diagnostics in Multiple Linear Regression Model (continued)
- 19 Software Implementation of Multiple Linear Regression Model using MINITAB
- 20 Software Implementation of Multiple Linear Regression Model using MINITAB (continued)
- 21 Forecasting in Multiple Linear Regression Model
- 22 Within Sample Forecasting
- 23 Outside Sample Forecasting
- 24 Software Implementation of Forecasting using MINITAB.
