On Sun, 06 Feb 2000 18:47:32 GMT, "Milo Schield"
<[EMAIL PROTECTED]> wrote:
> QUESTION: What is the theoretical maximum value of R-sq ** when binary data
> (Y) is obtained from a simple linear model?
>
> The data is binary with Y values taken from a linear model going from 0 to 1
> over the range of X.
< snip, some detail which confuses me >
> Based on some discrete trials, I get the following estimates for R-sq:
> a. 99%
> b. 16%
> c. 96%
> d. 16%
At first, I thought you *must* be asking about how much "attenuation"
in the r or R^2 results, when you replace one variable -- normal or
uniform -- with its dichotomous re-coding; and then compare that with
another continuous variable. But that does not result in any number
near to what you have in (a-d) so I figure I must be totally off.
Even if someone pops in with an answer that makes you happy, could you
explain the question more slowly?
--
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html
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