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trujivan / health-insurance-regression-analysis

By Constructing a regression model without interactions for data obtained from a health insurance company- information from its subscribers who had made claims resulting from ischemic (coronary) heart disease- we are able to predict the total costs of services provided. This project helps interpret the data through appropriate scatter plots (such as plots of the response against the various explanatory variables), summary statistics, and the output from the regression analysis.

Home Page:https://trujivan.github.io/health-insurance-regression-analysis/

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Health-Insurance-Regression-Analysis

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By Constructing a regression model without interactions for data obtained from a health insurance company- information from its subscribers who had made claims resulting from ischemic (coronary) heart disease- we are able to predict the total costs of services provided. This project helps interpret the data through appropriate scatter plots (such as plots of the response against the various explanatory variables), summary statistics, and the output from the regression analysis.

https://trujivan.github.io/health-insurance-regression-analysis/

rhealth-insuranceregressionregression-analysis

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