有了这个输出,我知道截距是当两个因子都为 0 时。我知道因子(V1)1 表示 V1=1,因子(V2)1 表示 V2=1。要获得仅 V1 = 1 的斜率,我将添加 5.1122 +(-0.4044)。但是,我想知道如何解释此输出中的 p 值。如果只是 V1 = 1,这是否意味着 p 值为 2.39e-12 + 0.376?如果是这样,我运行的每个模型只有在所有因素 = 0 时才有意义...
> lm.comfortgender=lm(V13~factor(V1)+factor(V2),data=comfort.txt)
> summary(lm.comfortgender)
Call:
lm(formula = V13 ~ factor(V1) + factor(V2), data = comfort.txt)
Residuals:
Min 1Q Median 3Q Max
-3.5676 -1.0411 0.1701 1.4324 2.0590
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 5.1122 0.5244 9.748 2.39e-12 ***
factor(V1)1 -0.4044 0.4516 -0.895 0.376
factor(V2)1 0.2332 0.5105 0.457 0.650
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.487 on 42 degrees of freedom
Multiple R-squared: 0.02793, Adjusted R-squared: -0.01836
F-statistic: 0.6033 on 2 and 42 DF, p-value: 0.5517