(Poly-)nominal values in Linear Regression?
Good evening everyone,
Lets imagine I have dataset consisting of these Columns:
UnitPrice | Price_Last_week | UnitsSold (label) | Product_Code | Brand | Dummy_Promoted?| Store_Number
according to another thread in this Forum : https://community.rapidminer.com/discussion/54531/linear-regression-cannot-handle-polynomial-label
I used the Nominal to Numerical operator to transform Brand Values, because I want to apply a Linear Regression.
Now some questions:
- Is that really working?
- Is that a right approach to examine the influence from the Brand on the UnitsSold ?
- How is Linear Regression handling dummvalues for example 0= no promotion, 1= promotion
- Are Product Codes a problem in this case? Because they are somehow Numerical but not made for calculations
I wish you a nice evening