This project predicts insurance charges using a linear regression model Using R I have used R studio Key factors include age, sex, BMI, children, smoking status, and region Categorical variables were converted to numeric. Smoking and BMI have the most significant impact on charges The model explains 75% of the variation in the data The interpretation is available on the code comments
