Difference between revisions of "FitPow Command"

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(* If you work with big/small numbers, you should consider normalizing them for a more accurate result, see Normalize Command.)
 
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<noinclude>{{Manual Page|version=5.0}}</noinclude>
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<noinclude>{{Manual Page|version=5.0}}</noinclude>{{command|cas=true|statistics}}
{{command|cas=true|statistics}}
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;FitPow( &lt;List of Points> )
;FitPow[ <List of Points> ]
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:Calculates the regression curve in the form ''a x<sup>b</sup>''.
:Calculates the regression curve in the form ''a x^b''.
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:{{example|1=<code><nowiki>FitPow({(1, 1), (3, 2), (7, 4)})</nowiki></code> creates the regression curve ''f(x) = 0.97 x<sup>0.71</sup>''.}}
:{{example|1=<div><code><nowiki>FitPow[{(1, 1), (3, 2), (7, 4)}]</nowiki></code> creates the regression curve ''f(x) = 0.97 x<sup>{0.71}</sup>''.</div>}}
 
  
  
 
==CAS Syntax==
 
==CAS Syntax==
;FitPow[ <List of Points> ]
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;FitPow( &lt;List of Points> )
:Calculates the regression curve in the form ''a x^b''.
+
:Calculates the regression curve in the form ''a x<sup>b</sup>''.
:{{example|1=<div><code><nowiki>FitPow[{(1, 1), (3, 2), (7, 4)}]</nowiki></code> yields ''0.97 x<sup>{0.71}</sup>''.</div>}}
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:{{example|1=<code><nowiki>FitPow({(1, 1), (3, 2), (7, 4)})</nowiki></code> yields ''0.97 x<sup>0.71</sup>''.}}
  
 
{{note| 1=<div>
 
{{note| 1=<div>
 
*All points used need to be in the first quadrant of the coordinate system.
 
*All points used need to be in the first quadrant of the coordinate system.
 
*See also [[FitExp Command]], [[FitLog Command]], [[FitPoly Command]], and [[FitSin Command]].
 
*See also [[FitExp Command]], [[FitLog Command]], [[FitPoly Command]], and [[FitSin Command]].
 +
* If you work with big/small numbers, you should consider normalizing them for a more accurate result, see  [[Normalize Command]].
 
</div>}}
 
</div>}}

Latest revision as of 11:41, 4 February 2019


FitPow( <List of Points> )
Calculates the regression curve in the form a xb.
Example: FitPow({(1, 1), (3, 2), (7, 4)}) creates the regression curve f(x) = 0.97 x0.71.


CAS Syntax

FitPow( <List of Points> )
Calculates the regression curve in the form a xb.
Example: FitPow({(1, 1), (3, 2), (7, 4)}) yields 0.97 x0.71.


Note:
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