Question: SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.926 0.857 0.857 4579 1200 ANOVA df F Significance F 0.000

SUMMARY OUTPUT Regression Statistics Multiple R R

SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.926 0.857 0.857 4579 1200 ANOVA df F Significance F 0.000 Regression Residual Total 1436 MS 3.0E+10 2.1E+07 5 1194 1199 SS 1.5E+11 2.5E+10 1.8E+11 Coefficients Standard Error 1146 t Stat 0.75 862 90 Intercept age age squared Smoker(Yes) Indicator Variable BMI(30+) Indicator Variable Smoker(Yes) & BMI(30+) Indicator Variable 2.27 13406 181 19580 62 0.77 483 298 661 1.45 2.94 27.75 0.61 29.64 P-value 0.45 0.15 0.00 0.00 0.54 0.00 Lower 95% -1387 -32 1 12459 -404 18284 Upper 95% 3110 211 4 14354 766 20876 For questions 25-29. please use the regression output provided on the sheet labeled 025-29. For clarity - please note that the output provided is from a regression of healthcare charges (Y) on age, age squared, whether a person smokes (an indicator where 1 indicates yes, and O indicates no). whether a person's BMI is 30+ (indicator variable where 1 indicates BMI>=30 and O indicates BMI

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