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Diagnostics in Multiple Linear Regression Model
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Classroom Contents
Linear Regression Analysis and Forecasting
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- 1 Standardized Regression Coefficients and Testing of Hypothesis
- 2 Simple Linear Regression Analysis
- 3 Software Implementation in Simple Linear Regression Model using MINITAB
- 4 Estimation of Model Parameters in Multiple Linear Regression Model (Continued)
- 5 Regression Model - A Statistical Tool
- 6 Testing of Hypothesis and Confidence Interval Estimation in Simple Linear Regression Model
- 7 Estimation of Model Parameters in Multiple Linear Regression Model
- 8 Basic Fundamental concepts of modelling
- 9 Testing of Hypothesis and Confidence Interval Estimation in Simple Linear Regression Model
- 10 Maximum Likelihood of Parameters in Simple Linear Regression Model
- 11 Diagnostics in Multiple Linear Regression Model (continued)
- 12 Estimation of Parameters in Simple Linear Regression Model(continued):Some nice properties
- 13 Estimation of Parameters in Simple Linear Regression Model(continued)
- 14 Diagnostics in Multiple Linear Regression Model
- 15 Estimation of Parameters in Simple Linear Regression Model
- 16 Multiple Linear Regression Model
- 17 Testing of Hypothesis (continued) and Goodness of Fit of the model
- 18 Within sample forecasting
- 19 Forecasting in Multiple linear Regression Model
- 20 Software Implementation in Multiple Linear Regression Model using MINITAB (continued)
- 21 Software Implementation in Multiple Linear Regression Model using MINITAB
- 22 Diagnostics in Multiple Linear Regression Model (continued)
- 23 Outside Sample Forecasting
- 24 Software Implementation of Forecasting using MINITAB
