<>
The only useful variation in y is whenever x1 equals 3. Whenever it is 2 or
1, y==0, whenever it is bigger than 3, y==1. To see that, look at the obs
that -logit- used:
*******
su y x1 if e(sample)
*******
Note the manual deals with this issue: [R], p. 906-910
HTH
Martin
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Michael Crain
Sent: Freitag, 27. November 2009 19:59
To: Statalist
Subject: st: -logit- interpretation question
I have a data set of 35 observations with the predictor variable (x1) using
the Likert scale and y = 0 or 1.
I run -logit- and -logistic- (Stata v 10) and get a result that says:
note: outcome = x1> 3 predicts data perfectly except for
x1 == 3 subsample:
x1 dropped and 28 obs not used
-logit- is dropping 28 of the 35 observations and is using only 7
observations
for the logit model but I don't understand the theoretical reason for doing
so.
clear
input y x1
1 4
1 4
1 3
1 4
1 4
1 4
1 4
1 3
1 3
1 3
1 3
0 3
0 1
0 2
0 2
0 2
0 2
0 2
0 2
0 2
0 2
0 2
0 2
0 3
0 2
0 1
0 1
0 2
0 1
0 2
0 1
0 2
0 1
0 1
0 1
end
scatter y x1, jitter(5)
tab y x1
logit y x1
logistic y x1
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