lm()是R语言中线性建模的函数。lm()函数适合线性模型并用于执行回归分析。
fit <- lm(weight~height,data=women)
fit
展开/折叠结果
Call:
lm(formula = weight ~ height, data = women)
Coefficients:
(Intercept) height
-87.52 3.45
summary(fit)
展开/折叠结果
Call:
lm(formula = weight ~ height, data = women)
Residuals:
Min 1Q Median 3Q Max
-1.7333 -1.1333 -0.3833 0.7417 3.1167
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -87.51667 5.93694 -14.74 1.71e-09 ***
height 3.45000 0.09114 37.85 1.09e-14 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.525 on 13 degrees of freedom
Multiple R-squared: 0.991, Adjusted R-squared: 0.9903
F-statistic: 1433 on 1 and 13 DF, p-value: 1.091e-14$\hat{Weight}=-87.52+3.45\times Height$
该模型解释了99.1%的方差，残差标准误1.525可理解为身高预测体重的模型的平均误差是1.525。
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