ANOVA question.
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 This topic has 7 replies, 6 voices, and was last updated 17 years, 11 months ago by cconrad.

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February 11, 2004 at 7:24 pm #34547
jediblackbeltParticipant@jediblackbelt Include @jediblackbelt in your post and this person will
be notified via email.I am working in Minitab 14 and using ANOVA when something that I am unfamiliar with happened (not surprising). Why am I getting Rsquare values from my ANOVA test?
Help in understanding this is appreciated.0February 12, 2004 at 3:27 pm #95379Good question, wish I had an answer to give you.
0February 12, 2004 at 3:54 pm #95384Have you posted to Minitab? They’re really good at responding.
0February 12, 2004 at 4:53 pm #95386
chngagentParticipant@chngagent Include @chngagent in your post and this person will
be notified via email.Jedi,
i am not sure what you are asking. minitab release 14 calculates this r sqd value for you. it is the square of the correlation coefficient and measures the proportion of variation that is explained by the model.
ideally r sqd should be equal to one, which would indicate zero error.
hope this answer your question.
0February 12, 2004 at 5:04 pm #95387
jediblackbeltParticipant@jediblackbelt Include @jediblackbelt in your post and this person will
be notified via email.I guess that is what is confusing me. I understand Rsq for my regression and correlation models, but for ANOVA when I am interested in the difference in means is where I am confused. Is it telling me the basic same thing as Pvalue and Fstats – that there is a difference in means and I am certain of it? I guess having a Rsq value for ANOVA I just feel like it is something new and I am not wanting to miss out on why it would be calculated for you and what significance it shows more than the pvalue or fvalue.
0February 12, 2004 at 6:57 pm #95401
chngagentParticipant@chngagent Include @chngagent in your post and this person will
be notified via email.ANOVA will validate your model and display the results in terms of an Ftest with an associated pvalue as you mentioned. your Rsqd as i mentioned before should be close to 1 as possible and Rsqd(adj) should be maximized and as close to Rsqd as possible. (all this i’m sure you know)
you still use your pvalues for statistical significance but your Rsqd values can give you some conclusions on how well your model is and how much variation still exists. check pvalues first and then your Rsqd values for fit.
hope this helps.0February 12, 2004 at 7:05 pm #95402In spite of the fact that most statistics packages have separate modules for ANOVA and general linear models the fact is that ANOVA and regression are two sides of the same coin.
In both you are entertaining a model and the Sums of squares of both are computed in exactly the same way. The key difference is that in ANOVA the model is overparameterized – they contain more parameters than are needed to represent the desired effects. An easy way to check this is to run the following:
IDVAR RESPONSE
1 3
1 4
1 5
2 3
2 6
2 7
3 3
3 4
3 5
Set up your ANOVA with IDVAR as the group variable and run it in the usual fashion – note the ss for within and between.
Next recode the IDVAR into two variables such that
if IDVAR = 1 then v1 = 0, v2=1
if IDVAR = 2 then v1=1 , v2=0
if IDVAR = 3 then v1 =0, v2=0
and run the general linear model RESPONSE = V1 V2.
You will note that the Sums of squares for model and error are exactly equal to Sums of squares for between and within.
A full explanation of the connection can be found in any good book on regression or ANOVA. R2 is one attempt to describe the amount of variation explained by the model you are entertaining and it means the same in both instances.0October 23, 2004 at 6:41 pm #109599
cconradParticipant@cconrad Include @cconrad in your post and this person will
be notified via email.I have the same question, what I am troubled by is, what is the model that the R2 is refering to? In Anova, I am looking to see the difference between means. I have several sets of measurements that I am compairing, where is the model? In regression I have a dependant variable and trying to explain where the variation comes from. In Anova, I am looking at many variables, but none of them is a dependant variable to all the others.
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