. Park; Leeds,Mark (IED)
Subject: Re: [R] stat question - not R question so ignore if not interested
A classic example used by my colleague Paul Rozin (when he
teaches Psych 1) is to compute the correlation between height
and number of shoes owned, in the class. Shorter students own
more shoes
If do a scattrplot of data ( x and y ) and there are two clouds of
points. One cloud is in the left
bottom corner of the plot and the other cloud is in the upper right.
If I fit a regression line to this data ( or equivalently , calculate a
correlation ), then obviously, it is going to seem like
The missing piece is why there are two clusters. There is
most likely a two-level factor distinguishing the groups
that was not included in the model. It might not even have
been measured and now you need to find it.
Rich
__
R-help@stat.math.ethz.ch
A classic example used by my colleague Paul Rozin (when he
teaches Psych 1) is to compute the correlation between height
and number of shoes owned, in the class. Shorter students own
more shoes. But ...
On 12/05/06 16:34, Richard M. Heiberger wrote:
The missing piece is why there are two
On Dec 5, 2006, at 3:42 PM, Leeds, Mark ((IED)) wrote:
If do a scattrplot of data ( x and y ) and there are two clouds of
points. One cloud is in the left
bottom corner of the plot and the other cloud is in the upper right.
If I fit a regression line to this data ( or equivalently ,
94404
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Jonathan Baron
Sent: Tuesday, December 05, 2006 1:45 PM
To: Richard M. Heiberger
Cc: r-help@stat.math.ethz.ch; C. Park; Leeds,Mark (IED)
Subject: Re: [R] stat question - not R question so ignore
