The point is that ALL your data has to fit the mathematical model. If you get empirical data that does 'not compute' then you have two choices:If you build the model then find data that fits, don't you run the risk that you taylor your data so that it does fit.
Oh, sorry that was global warming
- Your data collection method - something interferes - or accuracy is wrong.
- Your model is faulty.
Math IS the core of the Universe.
Peace out rockers..........