Talk:Multiple regression: Difference between revisions
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:: Well, the only code in the Tcl example that assumes a polynomial is in the example part and not the core solution part; that's using polynomials of up to degree 2 because that's what the page that provided the data used for the example suggested, not out of some kind of endorsement of polynomials. —[[User:Dkf|Donal Fellows]] 20:51, 9 August 2009 (UTC) |
:: Well, the only code in the Tcl example that assumes a polynomial is in the example part and not the core solution part; that's using polynomials of up to degree 2 because that's what the page that provided the data used for the example suggested, not out of some kind of endorsement of polynomials. —[[User:Dkf|Donal Fellows]] 20:51, 9 August 2009 (UTC) |
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::Fair enough. Thank you for the explanation. --[[User:Sluggo|Sluggo]] 22:44, 9 August 2009 (UTC) |
::Fair enough. Thank you for the explanation. --[[User:Sluggo|Sluggo]] 22:44, 9 August 2009 (UTC) |
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== Misleading Note in Intro == |
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The note in the introduction is incorrect. This task is a multiple ''linear'' regression problem; the use of OLS indicates that we are dealing with a ''linear model''. This is very different from a polynomial fitting problem which, by definition, is generally non-linear. At best, the multiple regression task is ''multi-linear'' and it is most certainly a subset of polynomial fitting problems. The note would be correct if we were talking about a multi-variate polynomial fitting task (which is would actually make an excellent task). |
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