Proceedings of the 2016 International Conference on Engineering Science and Management

Utilization of Regression and Correlation Analysis for Optimal Composition of Factors Affecting Premium Rates of Compulsory Contractual Insurance

Authors
Alena Kostalova, Michal Pavlicko
Corresponding Author
Alena Kostalova
Available Online August 2016.
DOI
10.2991/esm-16.2016.39How to use a DOI?
Keywords
Insurance, compulsory contractual insurance, motor third party liability insurance, regression analysis, correlation analysis
Abstract

The paper is dedicated to the proposal of optimal composition of factors to determine the premium rates of the compulsory contractual motor third party liability insurance in the selected insurance companies. The main aim of this paper is to find dependence of the premium rates on each factor by usage of regression and correlation analysis. The results of analysis show the optimal factors for selected companies.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Engineering Science and Management
Series
Advances in Engineering Research
Publication Date
August 2016
ISBN
978-94-6252-218-3
ISSN
2352-5401
DOI
10.2991/esm-16.2016.39How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Alena Kostalova
AU  - Michal Pavlicko
PY  - 2016/08
DA  - 2016/08
TI  - Utilization of Regression and Correlation Analysis for Optimal Composition of Factors Affecting Premium Rates of Compulsory Contractual Insurance
BT  - Proceedings of the 2016 International Conference on Engineering Science and Management
PB  - Atlantis Press
SP  - 170
EP  - 173
SN  - 2352-5401
UR  - https://doi.org/10.2991/esm-16.2016.39
DO  - 10.2991/esm-16.2016.39
ID  - Kostalova2016/08
ER  -