On Tue, Aug 23, 2011 at 7:54 AM, JC Matthews j.c.matth...@bristol.ac.uk wrote:
Thankyou for your replies, you've answered my question and given me more to
think on. I guess it is unwise to draw any conclusions from the
standardised results for these reasons.
No, by all means try to draw
Thankyou for your replies, you've answered my question and given me more to
think on. I guess it is unwise to draw any conclusions from the
standardised results for these reasons.
James.
--On 22 August 2011 17:30 +0100 ted.hard...@wlandres.net wrote:
On 22-Aug-11 15:37:40, JC Matthews
Hello,
I have a statistical problem that I am using R for, but I am not making
sense of the results. I am trying to use multiple regression to explore
which variables (weather conditions) have the greater effect on a local
atmospheric variable. The data is taken from a database that has
Hi JC,
You have interactions in your model, which means that your models
specifies that the coefficients for hum, wind, and rain should vary
depending on the value of the other two (and depending on their own
value actually, since you also have quadratic effects for each of
these variables in
On 22-Aug-11 15:37:40, JC Matthews wrote:
Hello,
I have a statistical problem that I am using R for, but I am
not making sense of the results. I am trying to use multiple
regression to explore which variables (weather conditions)
have the greater effect on a local atmospheric variable.
The
5 matches
Mail list logo
