|
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 |