```Date: Dec 7, 2012 1:17 AM
Author: Ray Koopman
Subject: Re: So do we need to "Bonferroni-correct" in this case

On Dec 6, 7:14 am, djh <halitsk...@att.net> wrote:> According to your estimates (thank you very much for doing them!),> below are our potentially acceptable p's.  Do we need to Bonferroni-> correct before proceeding further based on these p's?  I would argue> no ... but of course it's your call ...>>                                          Het> N1 Aube   H H  L L  H H  H H  L L  L L    0>    Aubqe  H H  L L  H H  H H  L L  L L    0>> N3 Aube   L L  H H  L L  H H  H H  L L    0>    Aubqe  L L  H H  L L  H H  H H  L L    0>> p ~= .021822 for het 0>>                                          L-H>                                          Het> N1 Auq    L H  L H  L H  L H  L H  L H    6>    Aubu   L H  L H  H H  L H  L H  H H    4>> N2 Auq    L H  H H  L H  H H  L H  L H    4>    Aubu   H H  L H  L H  H H  L H  L H    4>> N3 Auq    L H  H H  H H  L H  L H  L H    4>    Aubu   L H  H H  L L  L H  L H  L H    4>    Aubqu  L H  H H  H H  L H  L H  L H    4>> p ~= .001077 for L-H het 6> p ~= .048634 for L-H het 4>>                                          H-L>                                          Het> N1 AubC   H L  H L  H L  H L  H L  H L    6>    AubqC  H L  H L  H L  H L  H L  H L    6>> N2 AubC   H L  H L  H L  H L  H L  H L    6>    AubqC  H L  H L  H L  H L  H L  H L    6>> p ~= .001077 for H-L het 61. Het = 3 (posted 12/5 @ 12:00) is impossible. Check your data.2. Why do you present results from the regressions of c on both(u,e,u*e) and (u,e,u*e,u^2) for the same data? It is unusual toconsider the results of both analyses, except for the purpose ofdeciding which model to use. Have you checked the significance ofthe quadratic term? Does its inclusion reduce the Standard Error ofPrediction (SEP) substantially? (Those are two conceptually separateissues.)3. What does "Het" *mean*? I'm always suspicious of anything thatstarts with arbitrary dichotomization. What are you trying to show?
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