In article <[EMAIL PROTECTED]>,
[EMAIL PROTECTED] (Donald F. Burrill) wrote:
> On 31 May 2000, Vmcw wrote:
> > >>It is 10. I hope, you are talking about Variance Inflation Factor.
> > >>More than 10 indicates severe multicollinearity.
> Thus spake Jin Singh. And someone else (was it Dave Heiser
On Tue, 30 May 2000 22:12:11 -0400 (EDT), Donald F. Burrill wrote:
>On 31 May 2000, Vmcw wrote:
>
>> >>It is 10. I hope, you are talking about Variance Inflation Factor.
>> >>More than 10 indicates severe multicollinearity.
>
>> >And where does this magic number come from? :)
>
>
One place I ha
On Wed, 31 May 2000, jineshwar singh wrote:
> --- "Donald F. Burrill" <[EMAIL PROTECTED]> wrote:
Yes, I knew I'd written that... It took me a while to find it, but
the sole addition I could find in your post was the statement
VIF=10 is based on empirical data.
If this is indeed your
--- "T.S. Lim"
<[EMAIL PROTECTED]> wrote:
> In article <000701bfca86$f831b9a0$047c6395@sprint>,
> [EMAIL PROTECTED]
> says...
> >Simple answer-- from a college level text book.
Jin
> >It is 10. I hope, you are talking about Variance
> Inflation Factor. More
> than
> >10 indicates severe multic
--- "Donald F. Burrill" <[EMAIL PROTECTED]>
wrote:
> On 31 May 2000, Vmcw wrote:
> VIF=10 is based on empirical data.
> > >>It is 10. I hope, you are talking about Variance
> Inflation Factor.
> > >>More than 10 indicates severe multicollinearity.
>
> Thus spake Jin Singh. And someone else (w
On 31 May 2000, Vmcw wrote:
> >>It is 10. I hope, you are talking about Variance Inflation Factor.
> >>More than 10 indicates severe multicollinearity.
Thus spake Jin Singh. And someone else (was it Dave Heiser?) retorted,
sensibly I thought,
> >And where does this magic number come from? :)
>>It is 10. I hope, you are talking about Variance Inflation Factor. More
>than
>>10 indicates severe multicollinearity.
>
>
>And where does this magic number come from? :)
>
>
Neter, Wasserman, Nachtsheim, and Kutner, of course! (or is it Wasserman,
Kutner, Neter, and Nachtsheim or one of the o
In article <000701bfca86$f831b9a0$047c6395@sprint>, [EMAIL PROTECTED]
says...
>
>It is 10. I hope, you are talking about Variance Inflation Factor. More
than
>10 indicates severe multicollinearity.
And where does this magic number come from? :)
>Jin
>
>Jineshwar Singh, Coordinator, IDS
>Inte
Karen Scheltema wrote in message <[EMAIL PROTECTED]>...
>What is the usual cutoff for saying the VIF is too high?
I don't see that there can be any general criterion for saying that
a VIF is too large. A large value indicates collinearity between
predictor variables. In some fields, this cann
On Tue, 30 May 2000, Dale Glaser wrote:
> Karen..off the top of my head, the VIF is the inverse of tolerance,
> hence, if tolerance = (1 - r^2j), then VIF = 1/(1-r^2j)..
Yes, Dale is correct.
> ... r^2j would be the percentage of variation accounted for by the
> predictors in predicting the o
It is 10. I hope, you are talking about Variance Inflation Factor. More than
10 indicates severe multicollinearity.
Jin
Jineshwar Singh, Coordinator, IDS
Interdisciplinary Department
George Brown College
St .James campus
[EMAIL PROTECTED]
*
You cannot control how other
Karen..off the top of my head, the VIF is the inverse of tolerance, hence,
if tolerance = (1 - r^2j), then VIF=
1/(1-r^2j)..[excuse the sloppiness of the notation, but r^2j would be the
percentage of variation accounted for by the predictors in predicting the
other predictor..ie., the linear combi
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