Difference between revisions of "FitExp Command"

Revision as of 12:43, 4 February 2019

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

Note:

If you want the answer in the form a b ^ x then use the FitGrowth Command.
Euler's number ℯ can be obtained by pressing ALT + e.
See also Fit, FitGrowth, FitLine, FitLineX, FitLog, FitLogistic, FitPoly, FitPow and FitSin.
If you work with big/small numbers, you should consider normalizing them for a more accurate result, see Normalize Command.

@@ Line 1: / Line 1: @@
 <noinclude>{{Manual Page|version=5.0}}</noinclude>{{command|cas=true|statistics}}
-;FitExp[ &lt;List of Points> ]
+;FitExp( &lt;List of Points> )
 :Calculates the exponential regression curve in the form ''aℯ<sup>bx</sup>''.
-:{{example| 1=<div><code><nowiki>FitExp[{(0, 1), (2, 4)}]</nowiki></code> yields ''ℯ<sup>0.69x</sup>''.</div>}}
+:{{example| 1=<code><nowiki>FitExp({(0, 1), (2, 4)})</nowiki></code> yields ''ℯ<sup>0.69x</sup>''.}}
 {{note| 1=<div>
@@ Line 8: / Line 8: @@
 *Euler's number ℯ can be obtained by pressing {{KeyCode|ALT + e}}.
 *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]].
+* If you work with big/small numbers, you should consider normalizing them for a more accurate result, see  [[Normalize Command]].
 </div>}}