Why would you assert that the mean is the same as the intercept? For data
clustered far from the y axis this seems clearly unlikely to be true.
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Sent from my phone. Please excuse my brevity.
Lao Meng <laomen...@gmail.com> wrote:
Hi all:
I have a question about lm on t-test.
data(sleep)
I wanna perform t-test to test the difference between the 2 groups:
I can use:
t.test(extra~group)
The t.test result shows that:t = -1.8608; mean1=0.75,mean2=2.33
But I still wanna use:
summary(lm(extra~group))
Intercept=0.75,which is mean1,just the same as t.test.
group2=1.58 means the difference of the 2 groups,so
mean2=1.58+0.75=2.33,just the same as t.test.
And some parameters of group2(t value,Pr) are the same as t.test,since
group2 is the difference of the 2 groups.
My question is:
How the "t value" of Intercept(group1 acturally) is calculated?
Thanks a lot.
My best
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