Medical-Cost-Regression

Problem Statement : Today we will explore a data set dedicated to the cost of treatment of different patients. The cost of treatment depends on many factors: diagnosis, type of clinic, city of residence, age and so on. We have no data on the diagnosis of patients. But we have other information that can help us to make a conclusion about the health of patients and practice regression analysis

Content

Columns

1. age: age of primary beneficiary
2. sex: insurance contractor gender, female, male
3. bmi: Body mass index, providing an understanding of body, weights that are relatively high or low relative to height, objective index of body weight (kg / m ^ 2) using the ratio of height to weight, ideally 18.5 to 24.9
4. children: Number of children covered by health insurance / Number of dependents
5. smoker: Smoking
6. region: the beneficiary's residential area in the US, northeast, southeast, southwest, northwest.
7. charges: Individual medical costs billed by health insurance