Statistical Estimation of the Influence of Individual Factors on Emissions from Agricultural Enterprises of Zhytomyr region
Journal Title: Проблеми економіки - Year 2018, Vol 2018, Issue 2
Abstract
The current state of environmental issues in our country, in particular those concerning statistical estimation of the environmental consequences of agricultural activities of enterprises, requires developing and implementing new approaches to statistical estimation of this sector. The aim of the article is to perform statistical estimation and statistical forecast of the influence of individual factors on the volumes of nitrogen oxide (NO) and PM10, PM2.5 by means of the methods of linear regression and chain substitution. Using the performed calculations, the information base of which is the data of a sampling, there carried out statistical forecast by means of the methods of linear regression, chain substitutions. The calculation of the forecast values with the application of linear progression, which is performed based on the algorithm for calculating forecast values with the application of linear regression, is justified. There suggested the statistical forecasting of nitrogen oxide (NO) and PM10, PM2.5 emissions with regard to the influence of various factors using the data obtained as a result of the sampling carried out for Zhytomyr region. The equations are calculated with the application of linear regression and imply constructing such straight lines for which the values lying on them will be as close as possible to the actual ones. The assessment of the quality of the trend equations is carried out using the coefficient of determination and the criteria for evaluating the significance.
Authors and Affiliations
Kobylynska V.
Keywords
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