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标题: Quant - F Stat [打印本页]

作者: meghanjackson    时间: 2011-7-11 19:27     标题: Quant - F Stat

I understand that the F-test sets the independent variables, as a group, to explain the variabtion in the dependent variable But, what is the logic behind setting the values of the independent variables to zero (0)?

i.e. H0: b1 = b2 = b3 = b4 = 0
作者: scarecrow    时间: 2011-7-11 19:27

hi Rusbus,

when you say "If all of these coefficients together come out to be statistically 0..." what do you mean exactly?

the null is trying to prove that all the coefficients = 0. If they do, this means that the F-value will lie outside the critical F value?
作者: Sportsman    时间: 2011-7-11 19:27

gazhoo Wrote:
-------------------------------------------------------
> hi Rusbus,
>
> when you say "If all of these coefficients
> together come out to be statistically 0..." what
> do you mean exactly?
>
> the null is trying to prove that all the
> coefficients = 0. If they do, this means that the
> F-value will lie outside the critical F value?

F-test is a one sided test. Fstat is greater than or less than Fcrit = accept null hypothesis regression is insignificant.

NO EXCUSES
作者: bingbingliang    时间: 2011-7-11 19:27

aren/'t you supposed to reject the null if F-stat is greater or less than Fcritical?
作者: random_walker47    时间: 2011-7-11 19:27

You reject the null if the F stat is greater than the critical value determined from the F table. The null hypothesis is that the test parameters do NOT explain the model. Therefore if you reject the null, you are saying that the independant variables (as a group) do explain the dependant variable to some extent. If you fail to reject the null, it means that the independant variables do not explain the dependant one.




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