These data can be found, with SAS code to describe them, at the bottom of my
CorrRegr program on the page at:
http://core.ecu.edu/psyc/wuenschk/SAS/SAS-Programs.htm
++ Karl L. Wuensch, Department of Psychology, East C
I would like to enter the arena.
I see the original question as two questions, one about
probability in a general sense, and the second about probability as used within
Bayes Theorem. This is in line with the historical arguments.
Most statisticians (from Fisher down to the present) recogn
Colleagues: Here are the 4 pairs of X,Y variables from Anscombe's 1973
American Statistician paper.
(The columns, in order, are X1, Y1, X2, Y2, etc. Calculate the means and
SDs for each variable, and r for each pair. This is a nice example to
emphasize the importance of plotting data before fitt
found the data ... entered it ... here is some stuff on it
===
Row X1 Y1 X2 Y2 X3 Y3 X4 Y4
1 108.04 10 9.14 107.46 86.58
2 86.95 8 8.14 86.77 85.76
3 137.58 13 8.74
[EMAIL PROTECTED] wrote:
>
> There is an introductory example of two datasets with equal R^2
> (and possibly with equal coefficients?) but with
> markedly different residuals. I can't for the life of me
> remember the author's name that is associated with these
> data, or where to find them.
There is an introductory example of two datasets with equal R^2
(and possibly with equal coefficients?) but with
markedly different residuals. I can't for the life of me
remember the author's name that is associated with these
data, or where to find them.
Any help would be appreciated.
Bruce
