The program for estimation non-elementary linear regressions with two variables using ordinary least squares

Objective. The aim of this article is to develop a program for approximate estimation regression models specified on the basis Leontief production function (non-elementary regressions with two variables) and use it modeling unemployment rate in Irkutsk region. Method . Estimation non-elementary carried out using ordinary least squares method. To find estimates, we used previously developed algorithm that involves solving very laborious computational problem. Result Based algorithm, special was Delphi programming environment. provides work manual automatic modes. In mode, according criteria, estimates model parameters, residual sum squares, coefficient determination, Student's criterion, Durbin-Watson's criterion and, each variable, number binary operation components triggerings sample, are determined. best determined criteria: Student’s Durbin-Watson’s criterion. At same time, graphs all main characteristics plotted depending key parameter model. With help program, region construct. Conclusion construct turned be better than traditional multiple linear regression. universal can solve specific applied problems data analysis.