Poisson Regression Modelling of Automobile Insurance Using R

Abstract

Automobile insurance benefits are protecting the vehicle and minimizing customer losses. Insurance companies must provide funds to pay customer claims if a claim occurs. Insurance claims can be modelled by Poisson regression. Poisson regression is used to analyze the count data with Poisson distributed data responses. this paper, the data model of sample is automobile insurance claims from the companies in one year (in 2021) of observation which contains three types of insurance products, i.e., Total Loss Only (TLO), All Risk, and Comprehensive. The results of data analysis show that the highest number of claims comes from Comprehensive insurance products, especially if the premium value gets more extensive. In contrast, the least comes from TLO insurance products.
 

Predictive Distribution to Determine Learning Model at the Strategic Competence Level of Students in Statistics Group Course

“…For further research, we will use clustering techniques to determine the level of strategic competence of students in other courses as described in Yudhanegara and Lestari [12], Yudhanegara et al [16], [17], [18]. In addition, we will also combine research using correspondence analysis for categorical data [19], a combination of correspondence analysis with clustering [17] [19] [20] [21], and a regression model [22] [23].…”