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Evaluation of Decision-Making Bodies in Insurance Companies in the Republic of Serbia With the Aim of Realistic Presentation of Insurance Costs Using T-Test and Correlation Analyses

Miloš Lutovac ; Belgrade Business and Arts Academy of Applied Studies, Belgrade, Serbia
Danijela Radenković orcid id orcid.org/0000-0001-6539-1979 ; Belgrade Business and Arts Academy of Applied Studies, Belgrade, Serbia
Valentina Mirković orcid id orcid.org/0000-0002-5857-5021 ; Belgrade Business and Arts Academy of Applied Studies, Belgrade, Serbia
Jovana Bulatović ; Academy of Applied Studies Belgrade, Zemun, Serbia


Puni tekst: engleski pdf 104 Kb

str. 211-218

preuzimanja: 91

citiraj


Sažetak

The authors presented the results of forecasting the total cost of the company in relation to insurance in large and medium-sized companies in the Republic of Serbia by applying multiple linear regression. This was done based on the evaluated six factors of influence after the evaluations received by the management of the administrative bodies of four insurance companies operating in the Republic of Serbia. The coefficient of determination (R2) of 0.441 was obtained by regression analysis, based on which it can be seen that a value of 44.1% of the total variance is obtained based on the given prediction model. The obtained model is statistically significant, because its significance (p<0.0005, F=19.442) is lower than the observed statistical level. Therefore, a company’s total insurance costs can be predicted based on six influencing factors. Then, the individual contribution of each independent variable to the prediction of the company’s total cost of insurance was observed. For the prediction of the total cost of the company, all independent factors make a significant contribution, except for the analyzed factor, the satisfaction of the insured (Table 2).

Ključne riječi

management bodies of insurance companies; company size; insurance costs

Hrčak ID:

309549

URI

https://hrcak.srce.hr/309549

Datum izdavanja:

1.10.2023.

Posjeta: 311 *