The paper presents the application of multi-dimensional cause and effect models. The author focused on the presentation of methodical assumptions and the practical application of the regression analysis along with the method of structural equations as part of the assessment of factors behind the success of farms. A database was analyzed which was prepared based on a questionnaire/interview conducted in 163 leading farms in the region of the Carpathian Mountains. The paper also presents a set of variables explaining and representing factors that hypothetically have the greatest impact on the success of farms: labor, land, production technology, market relations, budget transfers, human capital, progress absorption and accumulation possibilities of farms.