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MULTIVARIATE REGRESSION MODEL OF NATURAL GAS CONSUMPTION AS A FUNCTION OF POPULATION AND TEMPERATURE IN GERMANY
Author(s) -
G.V. Abramkin,
Vladimir Rusev
Publication year - 2021
Publication title -
èkologiâ. èkonomika. informatika. tom 1: sistemnyj analiz i modelirovanie èkonomičeskih i èkologičeskih sistem
Language(s) - English
Resource type - Journals
ISSN - 2500-395X
DOI - 10.23885/2500-395x-2021-1-6-11-14
Subject(s) - multivariate statistics , consumption (sociology) , regression analysis , regression , econometrics , population , natural (archaeology) , statistics , natural gas , economics , mathematics , demography , geography , chemistry , sociology , social science , archaeology , organic chemistry
In this paper a mathematical multiple regression model has been constructed based on statistical data on natural gas consumption in the Federal Republic of Germany (FRG) as a function of temperature and population. A normal distribution of the raw data and residuals was analysed, and a regression equation with a possible economic treatment of the data was derived. Using mathematical methods, the autocorrelation of the model residuals was investigated. Based on the calculations, the importance of these indicators for gas consumption is shown. The importance of other variables, which are not yet reported in this study, is noted.

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