id: 28182
Title: Mathematical and statistical analysis of the components of the price of agricultural products (vegetables) sale as factor systems
Authors: Volontyr L.
Keywords: price, demand, supply, mathematical and statistical analysis, multifactor regression model, mul
Date of publication: 2021-04-12 09:58:12
Last changes: 2021-04-12 09:58:12
Year of publication: 2021
Summary: According to the statistics data of Ukraine development indicators, a multiple regression model was developed for such a generalizing indicator as the price of vegetables (dependent variable). Factors (independent variables) that affect the value of this indicator have been identified. A preliminary mathematical and statistical analysis.
of the model was performed: correlation fields were constructed and statistical characteristics of samples were
determined, on the basis of which the data of statistical samples were checked in relation of the fact if they are
subject to the normal distribution law; paired correlation coefficients are calculated and the strength (density) of
the connection between all model variables is estimated. A multifactor regression model was developed, the significance of which was verified by Fisher`s F-statistics, and the parameters of the models were verified by Student`s
t-statistics with a confidence probability of p = 0.95. The model was tested for the presence of multicollinearity by
Farrar-Glauber method. The developed model can be used to improve the planning and adjustment of vegetable
prices. The proposed technique can also be used to develop appropriate models for any type of crop production.
URI: http://socrates.vsau.org/repository/getfile.php/28182.pdf
Publication type: Статті у зарубіжних наукових фахових виданнях (Copernicus та інші)
Publication: The scientific heritage. 2021. № 63, vol. 1. Р. 28-37.
In the collections :
Published by: Адміністратор
File : 28182.pdf Size : 699926 byte Format : Adobe PDF Access : For all
| |
|
|
