KAMBERI, Lazim and BAJRAMI, Merita and SELIMI, Mirlinda and RAMANI-HALILI, Rushadije (2023) APPLICATION OF REGRESSION ANALYSIS IN R. ECONOMIC VISION International Scientific Journal in Economics, Finance, Business, Marketing, Management and Tourism, 10 (19-20). pp. 132-138. ISSN 2545-4544

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Statistics as an independent scientific discipline has become an applicable tool in various fields of science, society, and business such as insurance, etc. Since the activities of an insurance company can be considered as a business process where data management and analysis play a key role, it is the idea why a basic understanding of data-related issues such as quality, analysis, application of linear models, and accurate interpretation of data is essential to the company's insurance business. In this paper, we study the application of statistical models, where the relationship between different categorical variables is analyzed through the regression method. This study, in addition to examining the theoretical part of regression models, is carried out using the programming language R, the use of which is widespread in the field of statistics. The study is based on real data from insurance companies, specifically on the claims of insured persons.

Item Type: Article
Uncontrolled Keywords: Statistical models, Regression method, Variables, Relationship
Subjects: H Social Sciences > HB Economic Theory
H Social Sciences > HC Economic History and Conditions
Divisions: Faculty of Law, Arts and Social Sciences > School of Management
Depositing User: Unnamed user with email
Date Deposited: 10 Nov 2023 16:08
Last Modified: 10 Nov 2023 16:08

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