Using Observation Weights / set WeightsVar

In "Credit Scorecard Modeling Using Observation Weights" there is an example of using the weights, but it is not clear how to link column 'CustAge' with column 'Weight'?

If I set creditscorecard(data,'GoodLabel',0,'IDVar','CustID','ResponseVar','status','PredictorVars',{'CustAge','CustIncome'},'WeightsVar','Weight','BinMissingData',true) how can I know it is linked to variable 'CustAge'?

What if I have weights for more variables ('CustAge', 'CustIncome')? How will I link CustAge to its own Weight and CustIncome to its own Weight?

Answer 1

[Michael]

Since the weights in this example are observation weights, they are not linked to any specific observation variable. Rather, they are linked to the individual observations. Since they are linked to the observations, there is only one weight for each row.

I've included a short script that computes the 'Goods' and 'Bads' for different variables without weights and with weights. It shows that the 'Good' and 'Bad' counts when aggregating different predictor bins are the same but that the 'Good' and 'Bad' counts change when you use weights.