Difference between revisions of "FitExp Command"

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<noinclude>{{Manual Page|version=4.0}}[[Category:Manual (official)|{{PAGENAME}}]]</noinclude>
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<noinclude>{{Manual Page|version=5.0}}</noinclude>{{command|cas=true|statistics}}
{{command|cas=true|statistics}}
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;FitExp( &lt;List of Points> )
;FitExp[ <List of Points> ]
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:Calculates the exponential regression curve in the form ''aℯ<sup>bx</sup>''.
:Calculates the exponential regression curve in the form <math> e ^ { a x } </math>
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:{{example| 1=<code><nowiki>FitExp({(0, 1), (2, 4)})</nowiki></code> yields ''ℯ<sup>0.69x</sup>''.}}
:{{example| 1=<div><code><nowiki>FitExp[{(0, 1), (2, 4)}]</nowiki></code> yields <math>e^{0.69 x}</math>.</div>}}
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{{note| 1=<div>
 
{{note| 1=<div>
*If you want the answer in the form <math> a x ^ b </math> then use the  [[FitGrowth Command]]
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*If you want the answer in the form <math> a b ^ x </math> then use the  [[FitGrowth Command]].
 
*Euler's number ℯ can be obtained by pressing {{KeyCode|ALT + e}}.
 
*Euler's number ℯ can be obtained by pressing {{KeyCode|ALT + e}}.
*See also [[FitLog Command]], [[FitPoly Command]], [[FitPow Command]] and [[FitSin Command]].
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*See also [[Fit Command|Fit]], [[FitGrowth Command|FitGrowth]], [[FitLine Command|FitLine]], [[FitLineX Command|FitLineX]], [[FitLog Command|FitLog]], [[FitLogistic Command|FitLogistic]], [[FitPoly Command|FitPoly]], [[FitPow Command|FitPow]] and [[FitSin Command|FitSin]].
</div>}}
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* If you work with big/small numbers, you should consider normalizing them for a more accurate result, see  [[Normalize Command]].
==CAS Syntax==
 
;FitExp[ <List of Points> ]
 
:Calculates the exponential regression curve.
 
:{{example| 1=<div><code><nowiki>FitExp[{(0, 1), (2, 4)}]</nowiki></code> yields <math>e^{0.69 x}</math>.</div>}}
 
{{note| 1=<div>
 
*Euler's number ℯ can be obtained by pressing {{KeyCode|ALT + e}}.
 
*See also [[FitLog Command]], [[FitPoly Command]], [[FitPow Command]] and [[FitSin Command]].
 
 
</div>}}
 
</div>}}

Revision as of 11:43, 4 February 2019


FitExp( <List of Points> )
Calculates the exponential regression curve in the form aℯbx.
Example: FitExp({(0, 1), (2, 4)}) yields 0.69x.


Note:
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