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I've been running a model with different combinations of imput parameters. Lets just assume they look like this:

1,2

1,3

1,4

3,4

1,2,3

2,3,4

1,2,3,4

As a result I receive a certain numerical value. Jus by looking at that value I can see if the result is good or not. But how do I decently analyse the influence of the input parameters on that result? As I know about nothing about statistics I can only cont how often every parameter appears with a good or bad result. But what about combinations of parameters? how do I analyse the meaning of a good result from a parameter which usually results in good and another that results in a bad result? Furthermore, some results are wonderful, some are not so good, some a not so bad, and some terribly bad.

I think it might be easier if I had a huge list of parameters and always only combinations of 2, but in fact I have only 5 parameters to play with, which results in 26 possible combinations.

Any ideas?

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# Statistical analysing

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