NAME: MOHAMAD KAHIRUL BIN MOHAMMADKAN MATRIX.NO: BS21110032 SV30602 FOUNDATION OF MACHINE LEARNING, SEMESTER 2 SESSION 2023/2024 REGRESSION ANALYSIS PRACTICAL 1 a) Show the output produced as shown on Page 46 for the regression analysis. b) Show the output produced as shown on Page 48 for the regression analysis c) Perform a regression analysis for the charges variable using the following independent variables (predictors) i. Age ii. Age and BMI iii. Age, BMI, and Children iv. Age, BMI, Children and Smokers d) Determine which one is the best model based on the R2 value. Age, BMI, Children and Smokers is the best model based on R2 value, cause it has 0.7497 multiple R-squared value, which is greater than other model. Higher R-squared values means the model is better. e) Which model requires the lowest charges for each year that age increases? Model: Age The coefficient for age is 257.7. This means that for each year increase in age, the charges are predicted to increase by $257.7, holding other variables constant. This is the lowest increase in charges per year compared to the other models, indicating that this model predicts the lowest charges for each year as age increases.
