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A people ask me a question:

There is a linear regression model that have been estimated

$\hat{Y}t=158.53+0.05X{t1}-0.91X_{t2}$

$t_i \cdots \cdots \cdots \cdots 1.30 \cdots 10.55 \cdots -0.92$

$prob \succ \left| t_i \right| \cdots 0.23 \cdots 0.000 \cdots 0.38$

Adjusted R-squared 0.93

S.E. of regression 20.22

$prob \succ F$ 0.00

his question is : evaluate the effect about the above estimated model.

I don't know how to answer his question...

and I never seen this expression: $prob \succ F$

what does this mean ? I think probability is a number. so why use partial ordering ?

or maybe this symbol has other means?

and how to evaluate the above model?

thanks very much.............

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I think stats.stackexchange.com would be more appropriate for this question – Or Zuk Mar 26 2011 at 15:16
This doesn't look like a mathematics research question. It looks as if you're trying to interpret output from statistical software. I'd need more information to be sure of what is meant, but I'm guessing the notation you're asking about means that the proabbility that a test statistic that has an F-distribution under a null hypothesis would exceed the value actually observed is 0.00, when rounded. – Michael Hardy Mar 26 2011 at 23:47

closed as off topic by Yemon Choi, Andrew Stacey, Steve Huntsman, Simon Thomas, Andres Caicedo Mar 27 2011 at 5:45

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