Talk:Multiple regression: Difference between revisions
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(added a link and a request for clarification) |
m (fixed a typo) |
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by fitting it to a function of the form |
by fitting it to a function of the form |
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<math> F(x) = \sum_{i=1}^n\beta_i f_i(x)</math> |
<math> \hat{F}(x) = \sum_{i=1}^n\beta_i f_i(x)</math> |
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where you've already chosen the <math>f_i</math> functions |
where you've already chosen the <math>f_i</math> functions |
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The number of data points <math>m</math> generally will |
The number of data points <math>m</math> generally will |
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exceed the number of functions in the model, <math>n</math>, |
exceed the number of functions in the model, <math>n</math>, |
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and the functions <math>f_i</math> can be anything, not just <math>x^i</math> |
and the functions <math>f_i</math> can be anything, not just <math>x^i</math> |
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as in the case of polynomial curve fitting. |
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I don't believe the Ruby and Tcl solutions on the page solve the general case of this problem |
I don't believe the Ruby and Tcl solutions on the page solve the general case of this problem |