The correlation dimension was calculated for a collection of 6080 stra
nge attractors obtained numerically from low-degree polynomial, low-di
mensional maps and flows. It was found that the average correlation di
mension scales approximately as the square root of the dimension of th
e system with a surprisingly small variation. This result provides an
estimate of the number of dynamical variables required to characterize
an experiment in which a strange attractor has been found as well as
an estimate of the dimension of attractors produced by chaotic systems
in which the dimension of the state space is known.