| To: | s-news@wubios.wustl.edu |
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| Subject: | [S] Different R^2s? |
| From: | Brian Beckage <bb2@duke.edu> |
| Date: | Thu, 29 Apr 1999 15:35:09 -0400 (EDT) |
| Sender: | owner-s-news@wubios.wustl.edu |
Hello,
I noticed that when I fit the following two models I get
different R^2's when (I think) they should be the same.
model1<-lm(log(price)~date+mileage+date:mileage+mod450+mod380+
mod280+mod200,data=merc.design)
model2<-lm(log(price)~-1+date+mileage+date:mileage+mod500+mod450+mod380+
mod280+mod200,data=merc.design)
summary(model1) yields an R^2 of 0.9395 while summary(model2) yields an
R^2 of 0.9999. I'm using Splus3.4.
Thanks,
Brian
The data are:
> merc.design[,1:8]
price date mileage mod500 mod450 mod380 mod280 mod200
1 30495 11 7 1 0 0 0 0
2 22250 9 16 1 0 0 0 0
3 23995 9 8 1 0 0 0 0
4 18495 9 15 1 0 0 0 0
5 20950 10 26 1 0 0 0 0
6 21500 9 18 1 0 0 0 0
7 19995 7 24 1 0 0 0 0
8 18950 7 20 1 0 0 0 0
9 15695 6 13 0 1 0 0 0
10 15995 6 27 0 1 0 0 0
11 16595 6 18 0 1 0 0 0
12 15995 6 25 0 1 0 0 0
13 9950 1 43 0 1 0 0 0
14 17995 9 23 0 0 1 0 0
15 17495 8 16 0 0 1 0 0
16 21995 9 13 0 0 1 0 0
17 21995 11 2 0 0 1 0 0
18 19695 10 5 0 0 1 0 0
19 16850 8 15 0 0 1 0 0
20 16750 8 44 0 0 1 0 0
21 19850 8 22 0 0 1 0 0
22 21000 9 5 0 0 1 0 0
23 17950 7 44 0 0 1 0 0
24 17995 11 6 0 0 0 1 0
25 16295 10 14 0 0 0 1 0
26 16495 9 4 0 0 0 1 0
27 15995 8 15 0 0 0 1 0
28 13995 9 7 0 0 0 1 0
29 16995 11 11 0 0 0 1 0
30 15595 9 14 0 0 0 1 0
31 11995 7 11 0 0 0 1 0
32 13195 8 13 0 0 0 1 0
33 8995 5 31 0 0 0 1 0
34 17500 8 25 0 0 0 1 0
35 15450 8 25 0 0 0 1 0
36 14750 10 21 0 0 0 1 0
37 15750 8 16 0 0 0 1 0
38 12250 7 27 0 0 0 1 0
39 10995 10 13 0 0 0 0 1
40 10995 10 12 0 0 0 0 1
41 10495 9 24 0 0 0 0 1
42 8995 7 34 0 0 0 0 1
43 10295 9 7 0 0 0 0 1
44 6450 5 41 0 0 0 0 1
45 10950 8 29 0 0 0 0 1
46 9750 8 21 0 0 0 0 1
47 6950 4 35 0 0 0 0 1
price date mileage mod500 mod450 mod380 mod280 mod200
48 9950 9 11 0 0 0 0 1
49 8750 9 40 0 0 0 0 1
50 10750 10 12 0 0 0 0 1
51 4950 4 57 0 0 0 0 1
52 9250 10 23 0 0 0 0 1
53 9250 8 21 0 0 0 0 1
54 8995 9 24 0 0 0 0 1
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