Y X Z
42.0 7.0 33.0
33.0 4.0 41.0
75.0 16.0 7.0
28.0 3.0 49.0
91.0 21.0 5.0
55.0 8.0 31.0
data<-read.table("d.txt",header=TRUE)
mod<-lm(data$Y~data$X+data$Z)
predict(mod)
1 2 3 4 5 6
44.69961 34.22997 76.63735 29.32986 91.09000 48.01321
In the lm, the predicted(fitted) Y_1_hat is 44.6991,
is there a function to give me the variance of
y_1_hat?
Neither "anova" nor "summary" gives this value.
Thank You
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