Sorry, it has been a few years since I have done any sort of in depth statistical math and I am working on a problem and none of the solutions I have come up with seem to be very elegant or appear to be the right approach.
I have some performance data that I want to correlate to cost, to do some analysis with it. My issue is that the performance data can in fact be negative in some cases. If I want to do a real simple calculation of say cost over performance to try to do some analysis, I can not, as the few objects with negative performance do not work.
So my question is, is there a standard way that statisticians scale the performance data in a case like this or in a sense normalize the data? The current performance data runs from -70 to 70. It doesn't seem like shifting the data to run from say 0 to 140 is the proper approach.
I hope this makes sense.