Assumption values are assumed to be independent. Crystal Ball generates random numbers for each assumption without regard to how random numbers are generated for other assumptions. However, dependencies often exist between variables in a system being modeled.
To model these dependencies, you can define correlations between pairs of assumptions. These relationships are described in mathematical terms using a correlation coefficient, a number between -1.0 and +1.0 that measures the strength of the relationship. A positive value means that when one assumption is high, the other is likely to be high. A negative value means that the assumptions are inversely related; when one is high, the other is likely to be low.
For guidelines, instructions, and more information about using unlinked and linked matrixes, see the topics listed previously and Correlating Assumptions..