When you enter a variable (X), the R-squared increases, and has a p-value.
Then X has a p-value. These two p-values are exactly the same.
If you enter another variable, the p-value associated with X will
change, but that's because it's the value when you've controlled for
Send your output, and then we can see what happened.
On 12 August 2012 08:39, Maryam al-Humairah Adam
<[log in to unmask]> wrote:
> I have done a multiple regression analysis to examine some predictors of
> life satisfaction. One of the results shows that no significant change of
> the variance when a new predictor variable (say predictor X) was entered,
> but the standardised beta coeeficient yielded significant results (e.g.
> p=.04) . Can I say that predictor X has a potential predictive effect on
> life staisfaction?
> Thanks very much
> Mazni Mustapha
> Plymouth University