Week - 1 |
Description of Regression Analysis |
Week - 2 |
Assumptions of Linear Regression Model |
Week - 3 |
Simple Linear Regression |
Week - 4 |
Multiple Linear Regression |
Week - 5 |
Assessment of Goodness of Fit |
Week - 6 |
Residual Analysis |
Week - 7 |
Outliers Analysis |
Week - 8 |
Dummy Variables in Regression Analysis |
Week - 9 |
Problems of Heteroscedasticity and Autocorrelation |
Week - 10 |
Variable Selection and Model Development |
Week - 11 |
Biased Estimation Methods |
Week - 12 |
Ridge Regresyon |
Week - 13 |
Principle Component Regression |
Week - 14 |
Logistic Regression |