If initial values of all Star Student Project input variables are not random, but are evenly spaced over the considered ranges of variables, a number of dependencies and relationships can be studied. Influence of a single variable as well as of its gradient is revealed from the Star Student Project output data corresponding to the part of input data where all other variables each have a single value. Coupling of variables is uncovered by extending the considered part of the input and the corresponding output to include variable input of two variables.
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