Long story somewhat short … My company uses a risk model with 10+ variables. Each of these variables is weighted according to the risk it theoretically poses to the business. I have been tasked with re-weighting the variables and I would prefer to do so in some sort of statistically sound manner. My basic idea was to take the raw scores, which have been produced by this model, and attempt to determine which of the variables are driving the composite score and weight those heavier. I am somewhat statistically savvy, but I have not figured out how to get this done. My initial thought was to do a multiple regression, but since what I have is a dependent variable (the composite score) and a bunch of independent variables adding up to equal it, the coefficients will always be 1.
Any help would be GREATLY appreciated. Thanks.
Any help would be GREATLY appreciated. Thanks.