**Date:** Mon, 13 Feb 2006 14:13:06 -0800
**Reply-To:** Dale McLerran <stringplayer_2@YAHOO.COM>
**Sender:** "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
**From:** Dale McLerran <stringplayer_2@YAHOO.COM>
**Subject:** Re: Confidence/Prediction Interval error w/ linear regression
**In-Reply-To:** <o7v1v1hm9vtvvkptksbq10e9m2r2qqa9qh@4ax.com>
**Content-Type:** text/plain; charset=iso-8859-1
--- Shawn <kleptein@HOTMAIL.COM> wrote:

> Thanks for your reply, Sig. Actually I'm just learning SAS, and am
> dealing with some sample data that was included with it. It's
> actually simple data that includes the price of automobiles in 1975
> and 1985, so I used PROC REG to develop an equation that would allow
> me to predict an auto's price in 1985 if I knew the 1975 price. I
> have a background in statistics so I can compute the confidence and
> prediction intervals by hand, which I did, but just appending 'clb'
> doesn't produce the right results. That's when I discussed it with
> my
> SAS-competent friend and he mentioned the "trick."
>
> For example, I know that a specific auto cost $6,400 in 1975, and can
> easily compute the 1985 price from my parameter estimates. How would
> I get SAS to give me a 95% prediction interval though? Or even a
> confidence interval of the mean cost in 1985?
>
> The paper and pencil method uses the root MSE, of course, but I'm
> guessing that SAS does it some other way?
>
> Thanks again for teaching an old dog new tricks!
>
> Shawn
>

Shawn,

You have not told us what regression procedure you are using nor
how you are requesting confidence intervals from said procedure.
But let me assume that you are using PROC REG to construct your
regression function. Then prediction confidence limits as well
as confidence limits for the mean can be obtained employing an
OUTPUT statement of the form

output out=conf_lim lcl=lcl_pred ucl=ucl_pred
lclm=lcl_mean uclm=ucl_mean;

I have trouble believing that these confidence limits are not
correct. SAS has been around far too long for such to be wrong
when the regression model that REG assumes appropriate.

If these do not produce what you believe to be the correct limits,
then I think you had better be more specific about 1) the data
that you have collected and the model that you have fit, 2) the
procedure which you fit to obtain your regression function,
3) the options that you have employed in order to get SAS to
produce what you state are incorrect confidence limits, and
4) the equations that you employ to produce correct confidence
limits.

HTH,

Dale

---------------------------------------
Dale McLerran
Fred Hutchinson Cancer Research Center
mailto: dmclerra@NO_SPAMfhcrc.org
Ph: (206) 667-2926
Fax: (206) 667-5977
---------------------------------------

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