  This paper proposes a class of estimators for population correlation
coefficient when information about the population mean and population variance
of one of the variables is not available but information about these parameters
of another variable (auxiliary) is available, in two phase sampling and
analyzes its properties. Optimum estimator in the class is identified with its
variance formula. The estimators of the class involve unknown constants whose
optimum values depend on unknown population parameters.
