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If the data doesn’t match the model a little bit you don’t throw out the model completely, you adjust it.
by empath75 8y ago
If the data doesn’t match the model a little bit you don’t throw out the model completely, you adjust it.
- oldandtired 8y agoAgreed, but one should also be looking at what assumptions are being used and how they affect the outcomes predicted. If the adjustments made then invalidate one of the basis assumptions or the implications on which the model or theory relies, then there is a need to revisit all of the model.