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linear regression: strange values

zozettezozette Member Posts: 6 Contributor II
edited June 28 in Help
Hi all,
I have a database. I have conducted a linear regression with Gretl, R, Orange data mining and RapidMiner.
I get the same results with Gretl, R, Orange data mining but RapidMiner gives me very strange results.
Look at std error, p-value and t-value.
https://www.dropbox.com/sh/ab2tt2uq1klfbux/tUnIrDTbfZ
Is this a bug ?

Milane
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Answers

  • aborgaborg Member Posts: 67 Contributor II
    I have similar problem. Help is appreciated.
  • MariusHelfMariusHelf RapidMiner Certified Expert, Member Posts: 1,869   Unicorn
    Hi Milane,

    can you describe what is strange about the results? If I compare the RapidMiner results it to the results above it, I see no significant differences.

    Best regards,
    Marius
  • zozettezozette Member Posts: 6 Contributor II
    Marius wrote:

    Hi Milane,

    can you describe what is strange about the results? If I compare the RapidMiner results it to the results above it, I see no significant differences.

    Best regards,
    Marius
    Look at standard error, t-value or p-value, for example, for the intercept.
    It seems that the correct value for std error is 2.73 and no 2.222
    for the t-value 0.356 and no 0.438
    for the p-value 0.723 and no 0.667
    These are significant differences  ;)
    In RapidMiner, are these values calculated in the usual way? If so, the results should be the same, no?
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