Difference between revisions of "FitExp Command"
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− | <noinclude>{{Manual Page|version= | + | <noinclude>{{Manual Page|version=5.0}}</noinclude>{{command|cas=true|statistics}} |
− | {{command|statistics}} | + | ;FitExp( <List of Points> ) |
− | ; FitExp | + | :Calculates the exponential regression curve in the form ''aℯ<sup>bx</sup>''. |
− | == | + | :{{example| 1=<code><nowiki>FitExp({(0, 1), (2, 4)})</nowiki></code> yields ''ℯ<sup>0.69x</sup>''.}} |
− | + | ||
− | + | {{note| 1=<div> | |
+ | *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}}. | ||
+ | *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>}} |
Revision as of 12:43, 4 February 2019
- FitExp( <List of Points> )
- Calculates the exponential regression curve in the form aℯbx.
- Example:
FitExp({(0, 1), (2, 4)})
yields ℯ0.69x.
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.