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# RE: st: CIs around Qreg trend line

 From "Jeff" To Subject RE: st: CIs around Qreg trend line Date Mon, 15 Mar 2010 16:27:27 -0700

```Dear Mr. Cox,

Thank you.  The example syntax worked great.
Question:
What is being computed by the line "local level = (100 - 95) / 200"?
Is this line in any way dependent upon the number of observations?
Alternatively, what does 200 signify.

Thanks again and pardon my ignorance.

Jeffrey B. Wolpin

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Nick Cox
Sent: Monday, March 15, 2010 1:41 PM
To: statalist@hsphsun2.harvard.edu
Subject: RE: st: CIs around Qreg trend line

sysuse auto, clear
gen gpm = 1/mpg
qreg gpm weight
predict pred
predict se, stdp
local level = (100 - 95) / 200
gen ul = pred + invttail(e(df_r), `level') * se
gen ll = pred - invttail(e(df_r), `level') * se
twoway rarea ll ul weight, sort astyle(ci) || ///
line pred weight, sort || ///
scatter gpm weight, legend(off) ytitle(Gallons per mile)

Nick
n.j.cox@durham.ac.uk

Jeffrey B. Wolpin

In Stata 10, assuming a qreg regression with one predictor, is there a
way to develop confidence intervals around the qreg trend line (or any
quantile for that matter)?

Also, once developed, what would be the syntax to then graph the scatter
plot, trend line and confidence intervals?

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```