Difference between revisions of "FitPoly Command"

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;FitPoly[ <List of Points>, <Degree n of Polynomial> ]
 
;FitPoly[ <List of Points>, <Degree n of Polynomial> ]
 
:Calculates the regression polynomial of degree ''n''.
 
:Calculates the regression polynomial of degree ''n''.
:{{example| 1=<div><code><nowiki>FitPoly[{(-1, -1), (0, 1), (1, 1), (2, 5)}, 3]</nowiki></code> yields <math>x^3 - x^2 + 1</math>.</div>}}
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:{{example| 1=<div><code><nowiki>FitPoly[{(-1, -1), (0, 1), (1, 1), (2, 5)}, 3]</nowiki></code> yields ''f(x) = x<sup>3</sup> - x<sup>2</sup> + 1''.</div>}}
{{note| 1=<div>
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For order ''n'' there must be at least ''n + 1'' Points in the list.</div>}}{{note| 1=<div>
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See also [[FitExp Command]], [[FitLog Command]], [[FitPow Command]] and [[FitSin Command]].
 
</div>}}
 
 
==CAS Syntax==
 
==CAS Syntax==
 
;FitPoly[ <List of Points>, <Degree n of Polynomial> ]
 
;FitPoly[ <List of Points>, <Degree n of Polynomial> ]
 
:Calculates the regression polynomial of degree ''n''.
 
:Calculates the regression polynomial of degree ''n''.
:{{example| 1=<div><code><nowiki>FitPoly[{(-1, -1), (0, 1), (1, 1), (2, 5)}, 3]</nowiki></code> yields <math>x^3 - x^2 + 1</math>.</div>}}
+
:{{example| 1=<div><code><nowiki>FitPoly[{(-1, -1), (0, 1), (1, 1), (2, 5)}, 3]</nowiki></code> yields ''x<sup>3</sup> - x<sup>2</sup> + 1''.</div>}}
 +
 
 +
 
 
{{note| 1=<div>
 
{{note| 1=<div>
For order ''n'' there must be at least ''n + 1'' Points in the list.</div>}}{{note| 1=<div>
+
* For order ''n'' there must be at least ''n + 1'' Points in the list.
See also [[FitExp Command]], [[FitLog Command]], [[FitPow Command]] and [[FitSin Command]].
+
* See also [[FitExp Command]], [[FitLog Command]], [[FitPow Command]] and [[FitSin Command]].
 
</div>}}
 
</div>}}

Revision as of 08:06, 27 August 2013



FitPoly[ <List of Points>, <Degree n of Polynomial> ]
Calculates the regression polynomial of degree n.
Example:
FitPoly[{(-1, -1), (0, 1), (1, 1), (2, 5)}, 3] yields f(x) = x3 - x2 + 1.


CAS Syntax

FitPoly[ <List of Points>, <Degree n of Polynomial> ]
Calculates the regression polynomial of degree n.
Example:
FitPoly[{(-1, -1), (0, 1), (1, 1), (2, 5)}, 3] yields x3 - x2 + 1.


Note:
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