The paper describes experimental comparison of two empirical dependency parameters estimating techniques - least squares method and indeterminacy center method. Simulation of solving the task of predicted value estimation is performed. It is shown that for measurement error distribution close to uniform indeterminacy center method estimator is more regular. As observation multiplicity increases the estimator regularity increases more rapidly for indeterminacy center method.