Dear Ben, or anybody else, of course,
I'd be grateful if you could point me to a reference (different from ch. 4
Linear models in Statistical Models in S (Chambers Hastie (1992)))
regarding the (asserted F-)distributional properties of the test statistic
(used, e.g., by anova.lm()) to
On 21/03/12 20:19, Gerrit Eichner wrote:
Dear Ben, or anybody else, of course,
I'd be grateful if you could point me to a reference (different from
ch. 4 Linear models in Statistical Models in S (Chambers Hastie
(1992))) regarding the (asserted F-)distributional properties of the
test
On Mar 21, 2012, at 09:04 , Rolf Turner wrote:
On 21/03/12 20:19, Gerrit Eichner wrote:
Dear Ben, or anybody else, of course,
I'd be grateful if you could point me to a reference (different from ch. 4
Linear models in Statistical Models in S (Chambers Hastie (1992)))
regarding the
What if the model isn't nested, i.e. I want to test y=x+w vs y=x+z+v. Is
there a valid test/method to compare these (other than comparing R squared
values)? They are both multiple regression models.
--
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Michelle:
You need to work with someone locally who understands basic
statistics, as you are clearly out of your depth. Posting to this list
is highly unlikely to meet your needs, nor is this an appropriate
place or means to learn statistics -- it's for help on R. (Yes, they
do overlap, but it is
Sorry...typo
***-- I don't get why the MSE of model 3 is being included if we're
comparing Model 2 to Model 1
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http://r.789695.n4.nabble.com/anova-lm-F-test-confusion-tp4490211p4490220.html
Sent from the R help mailing list archive at Nabble.com.
I am using anova.lm to compare 3 linear models. Model 1 has 1 variable,
model 2 has 2 variables and model 3 has 3 variables. All models are fitted
to the same data set.
anova.lm(model1,model2) gives me:
Res.DfRSS Df Sum of Sq FPr(F)
1135 245.38
msteane michellesteane at hotmail.com writes:
I am using anova.lm to compare 3 linear models. Model 1 has 1 variable,
model 2 has 2 variables and model 3 has 3 variables. All models are fitted
to the same data set.
(I assume these are nested models, otherwise the analysis doesn't
make
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