Empirical power laws are frequently used to relate parameters in compl
ex hydrological and hydrometeorological processes. The validity of pow
er laws relating two parameters with a common variable may be compromi
sed by spurious influences of the common variable. Theoretical results
are presented that allow both the spurious self-correlation coefficie
nt and the slope of a spurious self-correlation to be determined a pri
ori. Raising a common variable to a higher power in either parameter a
mplifies the spurious effects. Power law regression equations are not
single-valued analytical functions and must not be treated as such. Be
cause of the strong influence of a common variable on the correlation
coefficient, the transfer of a common variable from one side of a powe
r-law regression equation to another (by cross-multiplying) may severe
ly distort the results. Examples from lake hydrology are presented.