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The Dependence of Prices and Sales of Selected Food Commodities

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F12%3APU99871" target="_blank" >RIV/00216305:26510/12:PU99871 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Dependence of Prices and Sales of Selected Food Commodities

  • Original language description

    This paper deals with analysis of sales of apples in a concrete company for a period of 10 consecutive years by the time series. The paper contains a definition of time series, calculation methods and the determination of the dependence on the amount sold by the selling price. Primarily there have been used the following methods for the calculations: aggregation of data, regression analysis and calculation of the correlation coefficient to determine the linearity of the examined data. In this article the calculations serves as one of the basis for the creation of neural networks, which will be used for predicting the sales of food commodities. The aim of the paper is to analyse by the time series and regression analysis the internal indicators of the company for accomplished sales of apples and prove or disprove the hypothesis that apple sales are depending on selling price. This prediction model was created as a reaction to a request from practice to create a prediction model of selec

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Trends in economics and management for the 21st century

  • ISBN

    978-80-214-4581-9

  • ISSN

  • e-ISSN

  • Number of pages

    209

  • Pages from-to

    180-181

  • Publisher name

    Brno University of Technology, Faculty of Business and Management

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Sep 20, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article