Weeks | Topics |
1 |
Single Equation Regression Models
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2 |
Two variable regression analysis: some basic ideas
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3 |
Two variable regression analysis: the problem of estimation
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4 |
Classical Normal Linear Regression Model:Normality asumption
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5 |
Maximum Likelihood Estimation and Method of Moment
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6 |
Two-variable regression: Interval Estimation and Hypothesis Testing
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7 |
Extensions of the two-variable Linear Regression Model
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8 |
Econometric Applications
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9 |
Multiple Regression Analysis: The Problem of Estimation
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10 |
Multiple Regression Analysis: The Problem of Inference
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11 |
Multiple Regression Analysis: The Problem of Inference
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12 |
Matrice Method of Linear Regression Model
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13 |
Relaxing the assumptions of the Classical Model
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14 |
Multicollinearity
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