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/).
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 -