fit2 <- lm(weight ~ hight + I(height^2), data = women)
summary(fit2)
展开/折叠结果
Call:
lm(formula = weight ~ height + I(height^2), data = women)
Residuals:
Min 1Q Median 3Q Max
-0.50941 -0.29611 -0.00941 0.28615 0.59706
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 261.87818 25.19677 10.393 2.36e-07 ***
height -7.34832 0.77769 -9.449 6.58e-07 ***
I(height^2) 0.08306 0.00598 13.891 9.32e-09 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.3841 on 12 degrees of freedom
Multiple R-squared: 0.9995, Adjusted R-squared: 0.9994
F-statistic: 1.139e+04 on 2 and 12 DF, p-value: < 2.2e-16
$\hat{Weight}=261.88-7.35 \times Height+0.083\times Height^2$
模型的方差解释了99.95%的方差。所有项均小于0.001，达到极显著水平。I()的作用是把一个表达式当作一个独立的项。
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