Chart C
Call:
lm(formula = charges ~ age + bmi + smoker + children + sex +
region, data = insurance)
Residuals:
Min 1Q Median 3Q Max
-11304.9 -2848.1 -982.1 1393.9 29992.8
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -11938.5 987.8 -12.086 < 2e-16 ***
age 256.9 11.9 21.587 < 2e-16 ***
bmi 339.2 28.6 11.860 < 2e-16 ***
smokeryes 23848.5 413.1 57.723 < 2e-16 ***
children 475.5 137.8 3.451 0.000577 ***
sexmale -131.3 332.9 -0.394 0.693348
regionnorthwest -353.0 476.3 -0.741 0.458769
regionsoutheast -1035.0 478.7 -2.162 0.030782 *
regionsouthwest -960.0 477.9 -2.009 0.044765 *
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 6062 on 1329 degrees of freedom
Multiple R-squared: 0.7509, Adjusted R-squared: 0.7494
F-statistic: 500.8 on 8 and 1329 DF, p-value: < 2.2e-16
Call:
lm(formula = charges ~ age + smoker, data = insurance)
Residuals:
Min 1Q Median 3Q Max
-16088.1 -2046.8 -1336.4 -212.7 28760.0
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -2391.63 528.30 -4.527 6.52e-06 ***
age 274.87 12.46 22.069 < 2e-16 ***
smokeryes 23855.30 433.49 55.031 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 6397 on 1335 degrees of freedom
Multiple R-squared: 0.7214, Adjusted R-squared: 0.721
F-statistic: 1728 on 2 and 1335 DF, p-value: < 2.2e-16
