[R] add a point to regression line and cook's distance

[Spencer Graves]

      What is the context?  What do the "outliers" represent?  If you 
think carefully about the context, you may find the answer. 

      hope this helps.  spencer graves
p.s.  I know statisticians who worked for HP before the split and who 
still work for either HP or Agilent, I'm not certain which.  If you want 
to contact me off-line, I can give you a couple of names if that might 
help. 

jonathan_li at agilent.com wrote:

>Hi, 
>
>This is more a statistics question rather than R question. But I thought people on this list may have some pointers.
>
>MY question is like the following:
>I would like to have a robust regression line. The data I have are mostly clustered around a small range. So
>the regression line tend to be influenced strongly by outlier points (with large cook's distance). From the application
>'s background, I know that the line should pass (0,0), which is far away from the data cloud. I would like to add this
>point to have a more robust line. The question is: does it make sense to do this? what are the negative impacts if any?
>
>thanks,
>jonathan
>
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