Open AccessMultiple regression model for gas consumption in Germany
Author(s) -
Vladimir Rusev,
G.V. Abramkin,
E.K. Muravyova
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/808/1/012033
Subject(s) - regression analysis , consumption (sociology) , econometrics , reliability (semiconductor) , regression , gas consumption , statistics , statistical model , environmental science , natural gas , population , mathematics , economics , demography , engineering , thermodynamics , environmental economics , sociology , physics , waste management , social science , power (physics)
In this paper a mathematical regression model was constructed based on statistical data on natural gas consumption in the Federal Republic of Germany (FRG). Two factors that can influence gas consumption were studied: the country’s population and the average annual temperature. On the basis of the calculations, the importance of these indicators for gas consumption is shown, with the conclusion that the climatic factor is normally distributed. The reliability of the model is high (99.98%).