SPECIFICS OF THE APPLICATIONS OF MULTIPLE REGRESSION MODEL IN THE ANALYSES OF THE EFFECTS OF GLOBAL FINANCIAL CRISES

This paper aims to present the specifics of the application of multiple linear regression model. The economic (financial) crisis is analyzed in terms of gross domestic product which is in a function of the foreign trade balance (on one hand) and the credit cards, i.e. indebtedness of the population...

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Main Authors: Željko V. Račić, Biljana T. Baraković
Format: Article
Language:English
Published: Croatian Operational Research Society 2010-12-01
Series:Croatian Operational Research Review
Subjects:
Online Access:http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=139837
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spelling doaj-6a76bdf8b8a642d59ce4135eab00c8cf2020-11-25T01:24:13ZengCroatian Operational Research SocietyCroatian Operational Research Review1848-02251848-99312010-12-0111227233SPECIFICS OF THE APPLICATIONS OF MULTIPLE REGRESSION MODEL IN THE ANALYSES OF THE EFFECTS OF GLOBAL FINANCIAL CRISESŽeljko V. Račić0Biljana T. Baraković1Faculty of Economics Banja Luka, Banja Luka, Bosnia and HerzegovinaUniversity for Business Study Banja Luka, Banja Luka, Bosnia and HerzegovinaThis paper aims to present the specifics of the application of multiple linear regression model. The economic (financial) crisis is analyzed in terms of gross domestic product which is in a function of the foreign trade balance (on one hand) and the credit cards, i.e. indebtedness of the population on this basis (on the other hand), in the USA (from 1999. to 2008). We used the extended application model which shows how the analyst should run the whole development process of regression model. This process began with simple statistical features and the application of regression procedures, and ended with residual analysis, intended for the study of compatibility of data and model settings. This paper also analyzes the values of some standard statistics used in the selection of appropriate regression model. Testing of the model is carried out with the use of the Statistics PASW 17 program.http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=139837Multiple linear regression modelstatistical testscoefficient of determinationF schedule
collection DOAJ
language English
format Article
sources DOAJ
author Željko V. Račić
Biljana T. Baraković
spellingShingle Željko V. Račić
Biljana T. Baraković
SPECIFICS OF THE APPLICATIONS OF MULTIPLE REGRESSION MODEL IN THE ANALYSES OF THE EFFECTS OF GLOBAL FINANCIAL CRISES
Croatian Operational Research Review
Multiple linear regression model
statistical tests
coefficient of determination
F schedule
author_facet Željko V. Račić
Biljana T. Baraković
author_sort Željko V. Račić
title SPECIFICS OF THE APPLICATIONS OF MULTIPLE REGRESSION MODEL IN THE ANALYSES OF THE EFFECTS OF GLOBAL FINANCIAL CRISES
title_short SPECIFICS OF THE APPLICATIONS OF MULTIPLE REGRESSION MODEL IN THE ANALYSES OF THE EFFECTS OF GLOBAL FINANCIAL CRISES
title_full SPECIFICS OF THE APPLICATIONS OF MULTIPLE REGRESSION MODEL IN THE ANALYSES OF THE EFFECTS OF GLOBAL FINANCIAL CRISES
title_fullStr SPECIFICS OF THE APPLICATIONS OF MULTIPLE REGRESSION MODEL IN THE ANALYSES OF THE EFFECTS OF GLOBAL FINANCIAL CRISES
title_full_unstemmed SPECIFICS OF THE APPLICATIONS OF MULTIPLE REGRESSION MODEL IN THE ANALYSES OF THE EFFECTS OF GLOBAL FINANCIAL CRISES
title_sort specifics of the applications of multiple regression model in the analyses of the effects of global financial crises
publisher Croatian Operational Research Society
series Croatian Operational Research Review
issn 1848-0225
1848-9931
publishDate 2010-12-01
description This paper aims to present the specifics of the application of multiple linear regression model. The economic (financial) crisis is analyzed in terms of gross domestic product which is in a function of the foreign trade balance (on one hand) and the credit cards, i.e. indebtedness of the population on this basis (on the other hand), in the USA (from 1999. to 2008). We used the extended application model which shows how the analyst should run the whole development process of regression model. This process began with simple statistical features and the application of regression procedures, and ended with residual analysis, intended for the study of compatibility of data and model settings. This paper also analyzes the values of some standard statistics used in the selection of appropriate regression model. Testing of the model is carried out with the use of the Statistics PASW 17 program.
topic Multiple linear regression model
statistical tests
coefficient of determination
F schedule
url http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=139837
work_keys_str_mv AT zeljkovracic specificsoftheapplicationsofmultipleregressionmodelintheanalysesoftheeffectsofglobalfinancialcrises
AT biljanatbarakovic specificsoftheapplicationsofmultipleregressionmodelintheanalysesoftheeffectsofglobalfinancialcrises
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