In short, you don't. If the number of terms in the model equals the number
of observations you have much bigger problems than not being able to compute
adjusted R^2. It should always be the case that the number of observations
exceed the number of terms in the model otherwise you cannot calculate any
of the standard regression diagnostics (F-stats, t-stats etc). My advice is
get more data or remove terms from the model. If neither of these is an
option you are stuck.
"Atul" <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> I have a doubt regarding adjusted r-square
>
> How do we calculate the adjusted r-square when the error degrees of
> freedom are zero ?
> (or in other words, number of samples is equal to the number of
> regression terms including the constant)
>
> Such a situation leads to a zero in the denominator in the expression
> for calculating adjusted r-square.
>
> Your help is highly appreciated.
>
> Thanks
> Atul
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