Just from what you tell us, with nothing
said about what the data are, what the
scientific problem is, or what method
you are applying, then there has to be
a question mark against variable c
and a slightly smaller one against variable b
and a slightly smaller one yet against variable a.
In fact, a conservative approach might reject them all.
To say this is to say very little, however.
All sorts of things could be going on, and
p-values alone won't tell you what's
a good analysis. It is possible that
the variables are just fighting with each
other and p-values will become more respectable
if one or two variables are left out. It
is possible that results will be changed
drastically if you look at one or more
of the variables on a transformed scale.
And so on.
Nick
[email protected]
Syed O Masood
> I have a technical question. Do we have to use p-value
> for selecting independent variables fro multivariate
> analysis?
>
> Example:
>
> I have 3 independent variables a, b, c which I have to
> regress on dependent variable y.
>
> In independent variable, the p-value for variable a is
> 0.09, varable b is 0.23 and variable c 0.77. If I have
> to do multivariabte analysis, is it necessary to
> reject variable c because the p-value is 0.77??
>
> In multivariate analysis, does order of entering
> variables make a difference??
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