Analysis and Forecast of Indicators of Industrial Production Using Regression, Correlation and Cluster Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F15%3A43925307" target="_blank" >RIV/49777513:23210/15:43925307 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Analysis and Forecast of Indicators of Industrial Production Using Regression, Correlation and Cluster Analysis

Original language description

This article deals with the indicators of industrial production. Industry and related services have an impact on the development of the whole country and also the development of individual regions, source of jobs. Manufacturing is categorized into classification of economic activities called NACE, which is comparable on international level. In this article, we devote this indicator of industrial production in Slovakia, the number of persons employed, monthly wage labor productivity from revenues from own services and products, revenues from own performances and goods in industrial production. The development of these indicators is described by regression and correlation analysis. To estimate the coefficients of the regression function is the method of least squares. Using appropriate regression functions is performed forecast indicators of industrial production in 2014. The relationship between the various indicators is explained by the correlation matrix. Similarity relations within the indicators examined partially and collectively are expressed using cluster analysis by year and category of industrial production.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

20301 - Mechanical engineering

Project

<a href="/en/project/EE2.3.30.0038" target="_blank" >EE2.3.30.0038: New excellence in human resources</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

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

Name of the periodical

INTERNATIONAL JOURNAL OF ECONOMICS AND STATISTICS

ISSN

2309-0685

e-ISSN

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Volume of the periodical

3

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

9

Pages from-to

85-93

UT code for WoS article

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EID of the result in the Scopus database

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