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st: =?utf-8?B?UkU6IFJFOiBSRTogUkU6IFJFOiBSRTogUkU6IFJFOiA=?==?utf-8?B?UkU6IHN0OiDCtMOwwrjCtDogc3Q6IEhvdyB0byBjaG9vc2Ug?==?utf-8?B?YSBwcm9wZXIgbW9kZWwgaWYgdGhlIGRlcGVuZGVudCA=?==?utf-8?B?dmFyaWFibGUgaXMgd2l0aGluIGJvdW5kcz8=?=


From   "Cheng, Xiaoqiang" <Xiaoqiang.Cheng@econ.kuleuven.be>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: =?utf-8?B?UkU6IFJFOiBSRTogUkU6IFJFOiBSRTogUkU6IFJFOiA=?==?utf-8?B?UkU6IHN0OiDCtMOwwrjCtDogc3Q6IEhvdyB0byBjaG9vc2Ug?==?utf-8?B?YSBwcm9wZXIgbW9kZWwgaWYgdGhlIGRlcGVuZGVudCA=?==?utf-8?B?dmFyaWFibGUgaXMgd2l0aGluIGJvdW5kcz8=?=
Date   Mon, 2 Oct 2006 16:21:38 +0200

Thank you very much.

Why I ask so because Maarten suggests rescale the variable x before running -glm- if the approximation of slope is exceeding unit. What I asked is can we simply do it another way around: i.e., multiply the slope by a smaller change of x such as 1/100 unit of x rather than 1 unit of x, and then we can explain like by 1/100 unit change of x will increase a certain level of y, which will not exceed 1. 

I don’t know if I make myself clear this time:)?

Best, 

Xiaoqiang Cheng

University of Leuven
Tel  +32 16 326853
Fax  +32 16 326796
Mail  Xiaoqiang Cheng
      Center for Economic Studies
      University of Leuven
      Naamsestraat 69
      Leuven,  Belgium
      B3000
Url www.econ.kuleuven.be/xiaoqiang.cheng




-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Nick Cox
Sent: 2006年10月2日 16:01
To: statalist@hsphsun2.harvard.edu
Subject: st: RE: RE: RE: RE: RE: RE: RE: RE: st: ´ð¸´: st: How to choose a proper model if the dependent variable is within bounds?

I don't think guessing is needed here, as this is basic 
trigonometry, but yes, 
vertical change = horizontal change X slope. 

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

Cheng, Xiaoqiang
 
> Thank you very much.
> 
> To make it clear, let's forget what I have said.
> 
> What I want to know is, since dy/dx is the approximate slope 
> and it should be explained as how much y will change respect 
> to one unit change of x. In this case, I guess it will be 
> right if we devide the value of the slope by 100 in order to 
> know how much y will change respect to 1/100 unit change of x.
> 

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