Применение модели множественной линейной регрессии для анализа изменения валового регионального продукта в зависимости от объемов собственных и заемных средств малого и среднего бизнеса А. С. Виноградова, А. С. Ерохин, С. Е. Тарапкина
Material type:
ArticleContent type: Текст Media type: электронный Other title: Application of the multiple linear regression model for analysis of changes in the gross regional product depending on the volume of own and borrowed funds of small and medium-sized businesses [Parallel title]Subject(s): валовый региональный продукт | экономика макрорегионов | малый и средний бизнес | собственные средства | заемные средстваGenre/Form: статьи в сборниках Online resources: Click here to access online
In:
Перспективы развития фундаментальных наук. Т. 5 : сборник научных трудов XVII Международной конференции студентов, аспирантов и молодых ученых, Россия, Томск, 21-24 апреля 2020 г Т. 5 : Экономика и управление. С. 41-43Abstract: This article discusses the application of the method of multiple linear regression to analyze the impact of two factors (equity and debt) on the value of the regional level of gross regional product among the subjects of the Siberian Federal district. The significance of these parameters for the construction of a model of multiple linear regression is revealed, the conclusion is made about the possibility of forecasting future values of the gross regional product based on data on borrowed and own funds.
Библиогр.: 7 назв.
This article discusses the application of the method of multiple linear regression to analyze the impact of two factors (equity and debt) on the value of the regional level of gross regional product among the subjects of the Siberian Federal district. The significance of these parameters for the construction of a model of multiple linear regression is revealed, the conclusion is made about the possibility of forecasting future values of the gross regional product based on data on borrowed and own funds.
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