The document discusses the process of building a regression model, highlighting the importance of selecting the right independent variables. It emphasizes the need to avoid including too many variables to ensure effective communication of results to management. Methods such as backward elimination are mentioned as ways to refine the model.

1. Regressions:

2. Regressions:

3. Regressions:

4. Regressions:

5. Building a Model:

6. Building a Model:

7. Building a Model:

8. Why you get rid of Columns:
Not be able to explain the thousands of
variable to the management.

9. Methods of Building the Model:
The process of constructing the model by selecting the right variables.

12. Dot use for all independent variables
summary(regressor)

14. Backward Elimination