Medical insurance is extremely important for everyone,and the costs for medical insurace changes from person to person. This model attempts to bring a relationship between the costs, age and bmi of the person.
The dataset used is Medical Cost Personal Datasets from Kaggle.
Target variables: bmi and age
BMI and age refers to the BMI and age of the person whose costs are mentioned in the dataset respectivly
For this dataset, linear regression was used
Linear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict is called the dependent variable. The variable you are using to predict the other variable's value is called the independent variable.
This form of analysis estimates the coefficients of the linear equation, involving one or more independent variables that best predict the value of the dependent variable.