Abstract
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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