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Week - 1
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Description of regression and regression analysis |
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Week - 2
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Two variable regression equation |
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Week - 3
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The estimation of the model using least squares method |
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Week - 4
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The standard error and the variance of the estimates |
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Week - 5
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Correlation coefficient |
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Week - 6
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The assumptions of the least squares estimation method |
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Week - 7
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The Gauss-Markov Theorem |
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Week - 8
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Confidence intervals, hypothesis tests, variance analysis |
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Week - 9
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Regression models without a constant, multiple linear regression analysis |
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Week - 10
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The comparison of two variable regression equation and multiple regression equation |
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Week - 11
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Model estimation in multiple regression analysis and applications |
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Week - 12
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Determination coefficient and the model selection |
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Week - 13
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Obtaining the model using matrixes |
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Week - 14
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Obtaining the model using matrixes |