On Tue, 28 Apr 2009, K. Elo wrote:
mathallan wrote:
How can I from the summary function, decide which glm (fit1, fit2 or fit3)
fits to data best? I don't know what to look after, so I would please
explain the important output.
Start with the AIC value (Akaike Information Criterion). The
How can I from the summary function, decide which glm (fit1, fit2 or fit3)
fits to data best? I don't know what to look after, so I would please
explain the important output.
fit1 - glm(Y~X, family=gaussian(link=identity))
fit2 - glm(Y~X, family=gaussian(link=log))
fit3 - glm(Y~X,
Hi!
mathallan wrote:
How can I from the summary function, decide which glm (fit1, fit2 or fit3)
fits to data best? I don't know what to look after, so I would please
explain the important output.
Start with the AIC value (Akaike Information Criterion). The model
having the lowest AIC is the
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