How can I limit the analysis from going into negative values?

Question

I want to analyze a 4-factor DOE. However, some responses are negative. This makes my model completely meaningless. These are results that cannot be negative. I used two fields to limit the responses. I added a visual representation of these fields, but they did not work. Can I perform an analysis that does not accept negative responses? Can I set such a restriction? Could you please share any suggestions you may have? It may reduce the accuracy value, but what is important to me is that it provides meaningful results.

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shampton82 · Answer

Hey @Furkan,

You could also look at using the Box-Cox transformation built into the Fit model platform.

Without transformation:

with transformation

Ben_BarrIngh · Answer

Hi @Furkan ,

Got it, a good place to start is looking at the Extrapolation Control settings on the Profiler to see if that helps. What you are looking at is a model that isn't fitting well, hence it predicting values that are 'out'.

Thanks,

Ben

Furkan · Answer

Hi @Ben_BarrIngh

There are no negative results in my experiment results. But when I analyze them, some of the predicted values come out negative. I mean limiting the values predicted by the model.

Because what I predict cannot be negative.

Thank you very much for your answers. I will take a look at this link.

Furkan