Difference between revisions of "FitExp Command"

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{{command|cas=true|statistics}}
 
{{command|cas=true|statistics}}
 
;FitExp[ <List of Points> ]
 
;FitExp[ <List of Points> ]
:Calculates the exponential regression curve.
+
:Calculates the exponential regression curve in the form <math> e ^ { a x } </math>
:{{example| 1=<div><code><nowiki>FitExp[{(0, 1), (2, 4)}]</nowiki></code> yields <math>^{0.69 x}</math>.</div>}}
+
:{{example| 1=<div><code><nowiki>FitExp[{(0, 1), (2, 4)}]</nowiki></code> yields <math>e^{0.69 x}</math>.</div>}}
 
{{note| 1=<div>
 
{{note| 1=<div>
 +
*If you want the answer in the form <math> a x ^ b </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]].
 
*See also [[FitLog Command]], [[FitPoly Command]], [[FitPow Command]] and [[FitSin Command]].
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;FitExp[ <List of Points> ]
 
;FitExp[ <List of Points> ]
 
:Calculates the exponential regression curve.
 
:Calculates the exponential regression curve.
:{{example| 1=<div><code><nowiki>FitExp[{(0, 1), (2, 4)}]</nowiki></code> yields <math>^{0.69 x}</math>.</div>}}
+
:{{example| 1=<div><code><nowiki>FitExp[{(0, 1), (2, 4)}]</nowiki></code> yields <math>e^{0.69 x}</math>.</div>}}
 
{{note| 1=<div>
 
{{note| 1=<div>
 
*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]].
 
*See also [[FitLog Command]], [[FitPoly Command]], [[FitPow Command]] and [[FitSin Command]].
 
</div>}}
 
</div>}}

Revision as of 19:54, 16 December 2012


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

CAS Syntax

FitExp[ <List of Points> ]
Calculates the exponential regression curve.
Example:
FitExp[{(0, 1), (2, 4)}] yields e^{0.69 x}.
Note:
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