Multiple linear regression analysis of the overlay accuracy model

Lin, Zone‐Ching; Wu, Wen-Jang

doi:10.1109/66.762881

Cited by 43 publications

(1 citation statement)

References 9 publications

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“…Linear regression is the cornerstone of many modern modeling tools [4]. Linear regression always provides an ideal approximation to the regression function and one particular case is that the quantity of samples is limited or the signal is comparatively weak [5]. The accuracy of the linear regression model always has to be guaranteed so it is important to use some method to make sure the regression model fits the data [6].…”

Section: Related Researchmentioning

confidence: 99%

Prediction Of Medical Insurance Cost Through Linear Regression Model

Cao

2023

HSET

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Nowadays health care problem has become an increasingly important topic, which means that more and more people choose to pay for health care insurance. This article is mainly about constructing a model which is used to predict a person’s health care insurance cost as a reason that it is usually hard to find the total amount of cost from people on health care insurance area. The author found a data set about health care insurance cost and used r to analyze it. In the end, 2 linear regression models which seem to fit the data set are built to predict the cost of heal care insurance. After the comparison of these 2 models, a better one is chosen. The model has also been checked to see if it is accurate and proper. The particular significance of this study is that it builds a model which can predict hard-to-collect data from some data which is easy to collect like BMI and age.

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Section: Related Researchmentioning

confidence: 99%