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From |
Nick Cox <njcoxstata@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: FW: Model SS/R-square in nl |

Date |
Fri, 1 Jul 2011 08:26:05 +0100 |

You are quite correct on this point. Sorry; I was thinking of power functions x^constant which are a current preoccupation of mine, but constant^x is indeed 1 when x is 0. The wider point is that R-square has different definitions which aren't guaranteed to coincide. If you want R-square to equal the square of corr(observed, predicted) you need to calculate that directly. See e.g. FAQ . . . . . . . . . . . . . . . . . . . . . . . Do-it-yourself R-squared . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. J. Cox 9/03 How can I get an R-squared value when a Stata command does not supply one? http://www.stata.com/support/faqs/stat/rsquared.html Although the question there is not yours, the answer is I think relevant. On Thu, Jun 30, 2011 at 9:24 PM, CJ Lan <CJ@jupiter.fl.us> wrote: [...] > The curve will not be forced through the origin. The curve of the 1st model starts at (b0+b1=45.6) and decreases at an exponential rate. Similarly the curve of the 2nd model starts at (b1=44.5) and decreases at a similar exponential rate. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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