Distance predicting functions have a number of uses when objects in sp
ace can be represented as points. When a predicted distance between tw
o points is determined by a distance predicting function, the unknown
distance between the points may be overestimated or underestimated due
to the statistical nature of distance predicting functions. Since an
analyst may desire a measure of the accuracy of the predicted distance
, we have developed a procedure for calculating confidence intervals f
or unknown. distances. The procedure utilizes information that is prov
ided by the sample Pearson coefficients.