| Summary: | 碩士 === 國立高雄應用科技大學 === 金融系金融資訊碩士在職專班 === 104 === This study analyzes how demographic variables might contribute to short-term claim in lifelong health insurance by using Cross Analysis, Independent-Samples T Test, One way ANOVA, Regression Analysis, Logistic Regression Model. The statistics indicate that gender, entry age, professions, types of premiums, medical exam, residence show positive correlation with short-term claim. Furthermore, entry age, types of insurance, types of premiums, residence could effect how many days the insurance benefits are paid. Logistic Regression Model demonstrates that gender, entry age, types of insurance, types of premiums, professions, residence, medical exam, are also having an impact on short-term claim in Lifelong Health Insurance.
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