```Date: Dec 14, 2012 4:00 PM
Author: Halitsky
Subject: Response to your last of 12/14 at 227pm re terminology and methodology.

1.  You asked:For instance, do you do it over Length for each cell in a 4-way (Foldx Set x Subset x Method) table?Exactly. Same as for the regression of Aubqe on L, as per myexplanatory post of 12/12 at 9:10 (which you readily understood.)2. You wrote:?there is another formula for the denominator of the t.?Thanks as always for your time and patience in providing the details ?I can readily compute the denominator you suggest because of what Idid to get the covariance matrix from Ivo?s module ? remember ? hedoes the heavy lifting by returning an A that has been computed bothslickly and accurately.  I do the rest, which is not as problematic.3.  You wrote:?So far the all the plots look pretty linear, with just a hint ofpositive curvature.?Please see my post immediately following this one.4.  You asked:"please explain the labels AuqSE, AubuSE, AubquSE, AubeSE, AubqeSE".Sorry ? these labels come from what I?m calling the regressionsthemselves (at least in my mind):Ruq is the regression of c on (u,u^2), so Auq is the average slope asdefined for you for RuqRub is the regression of c on (e,u,u*e), so AubuSE and AubeSE are thetwo average slopes you defined for Rub ? one for u and one for eRubq is the regression of c on (e,u,u*e,u^2), so AubqeSE and AubquSeare the two average slopes you defined for Rubq ? again, one for u andone for e.In all the above, ?q? signals the involvement of the square term ?u^2?and ?b? signals the involvement of the cross-term u*e.If you want to change notation here, please feel free to suggestalternatives of your liking.5.You said:please include the phrase "the regression of"Will do.
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