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Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy

Year 2016, Volume: 6 Issue: 2, 617 - 620, 01.04.2016

Nina Potekhina Yulia Shulinina Natalia Kuzmina Ludmila Potalisina İnessa Sannikova

https://izlik.org/JA99TR67RG

Abstract

The present study was intended to investigate a hypothesis about the impact of the following parameters: dynamics of gross domestic product, dynamics of fixed assets, dynamics of labour productivity, dynamics of the level of remuneration and dynamics of fixed asset investments on the number of employees with higher education in Russia. The correlational-regression analysis confirmed the influence of dynamics of fixed assets on the number of employees with higher education. Also authors have generated the forecast about future demand for specialists with higher education and dynamics of fixed assets for the period from 2015 to 2025 years.

Keywords

Correlation Analysis Regression Analysis Forecast of the Specialists with Higher Education

Year 2016, Volume: 6 Issue: 2, 617 - 620, 01.04.2016

Nina Potekhina Yulia Shulinina Natalia Kuzmina Ludmila Potalisina İnessa Sannikova

https://izlik.org/JA99TR67RG

Abstract

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Details

Other ID JA73FR66ZA
Authors

Nina Potekhina This is me

Yulia Shulinina This is me

Natalia Kuzmina This is me

Ludmila Potalisina This is me

İnessa Sannikova This is me

Publication Date April 1, 2016
IZ https://izlik.org/JA99TR67RG
Published in Issue Year 2016 Volume: 6 Issue: 2

Cite

APA Potekhina, N., Shulinina, Y., Kuzmina, N., Potalisina, L., & Sannikova, İ. (2016). Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy. International Journal of Economics and Financial Issues, 6(2), 617-620. https://izlik.org/JA99TR67RG
AMA 1.Potekhina N, Shulinina Y, Kuzmina N, Potalisina L, Sannikova İ. Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy. IJEFI. 2016;6(2):617-620. https://izlik.org/JA99TR67RG
Chicago Potekhina, Nina, Yulia Shulinina, Natalia Kuzmina, Ludmila Potalisina, and İnessa Sannikova. 2016. “Correlational-Regression Analysis Application for the Forecast of the Specialists With Higher Education Requirement in Russian Economy”. International Journal of Economics and Financial Issues 6 (2): 617-20. https://izlik.org/JA99TR67RG.
EndNote Potekhina N, Shulinina Y, Kuzmina N, Potalisina L, Sannikova İ (April 1, 2016) Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy. International Journal of Economics and Financial Issues 6 2 617–620.
IEEE [1]N. Potekhina, Y. Shulinina, N. Kuzmina, L. Potalisina, and İ. Sannikova, “Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy”, IJEFI, vol. 6, no. 2, pp. 617–620, Apr. 2016, [Online]. Available: https://izlik.org/JA99TR67RG
ISNAD Potekhina, Nina - Shulinina, Yulia - Kuzmina, Natalia - Potalisina, Ludmila - Sannikova, İnessa. “Correlational-Regression Analysis Application for the Forecast of the Specialists With Higher Education Requirement in Russian Economy”. International Journal of Economics and Financial Issues 6/2 (April 1, 2016): 617-620. https://izlik.org/JA99TR67RG.
JAMA 1.Potekhina N, Shulinina Y, Kuzmina N, Potalisina L, Sannikova İ. Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy. IJEFI. 2016;6:617–620.
MLA Potekhina, Nina, et al. “Correlational-Regression Analysis Application for the Forecast of the Specialists With Higher Education Requirement in Russian Economy”. International Journal of Economics and Financial Issues, vol. 6, no. 2, Apr. 2016, pp. 617-20, https://izlik.org/JA99TR67RG.
Vancouver 1.Nina Potekhina, Yulia Shulinina, Natalia Kuzmina, Ludmila Potalisina, İnessa Sannikova. Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy. IJEFI [Internet]. 2016 Apr. 1;6(2):617-20. Available from: https://izlik.org/JA99TR67RG