Final answer:
To estimate the increase in healthcare costs due to smoking for a person with a BMI of 25 using multiple linear regression, the difference is calculated as 5898 (rounded to the nearest whole number).
Step-by-step explanation:
To estimate the difference in healthcare charges due to smoking status for a person with a BMI of 25 using multiple linear regression, you need to use the coefficients given for each term in the model.
The regression equation is of the form Y = Intercept + (BMI coefficient × BMI) + (Smoker coefficient × Smoker) + (BMI*Smoker interaction coefficient × BMI × Smoker).
From the summary output, we have:
• The Intercept is 5591.
• The BMI coefficient is 94.
• The smoker coefficient is -18450.
• The BMI*Smoker interaction coefficient is 1368.
Using the regression equation:
• For a non-smoker with a BMI of 25, Y = 5591 + (94 × 25) = 7941.
• For a smoker with a BMI of 25, Y = 5591 + (94 × 25) + (-18450) + (1368 × 25) = 13839.
The estimated cost difference due to smoking for a person with a BMI of 25 is 13839 - 7941 = 5898 (rounded to the nearest whole number).