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