# Difference between revisions of "SumSquaredErrors Command"

From GeoGebra Manual

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− | ; | + | ;SSumSquaredErrors[ <List of Points>, <Function> ] |

:Calculates the sum of squared errors, SSE, between the y-values of the points in the list and the function values of the x-values in the list. | :Calculates the sum of squared errors, SSE, between the y-values of the points in the list and the function values of the x-values in the list. | ||

− | {{example|1= If we have a list of points: L={A,B,C,D,E} and have calculated for example: <code>f(x)=FitPoly[L,1]</code> and <code>g(x)=FitPoly[L,2]</code>, then it is possible to decide which of the two functions offers the best fit, in the sense of the least sum of squared errors (Gauss), by comparing: <code>sse_f=SumSquaredErrors[L,f]</code> and <code>sse_g=SumSquaredErrors[L,g]</code>.}} | + | :{{example|1= If we have a list of points: L={A,B,C,D,E} and have calculated for example: <code>f(x)=FitPoly[L,1]</code> and <code>g(x)=FitPoly[L,2]</code>, then it is possible to decide which of the two functions offers the best fit, in the sense of the least sum of squared errors (Gauss), by comparing: <code>sse_f=SumSquaredErrors[L,f]</code> and <code>sse_g=SumSquaredErrors[L,g]</code>.}} |

## Revision as of 13:58, 16 July 2013

- SSumSquaredErrors[ <List of Points>, <Function> ]
- Calculates the sum of squared errors, SSE, between the y-values of the points in the list and the function values of the x-values in the list.
**Example:**If we have a list of points: L={A,B,C,D,E} and have calculated for example:`f(x)=FitPoly[L,1]`

and`g(x)=FitPoly[L,2]`

, then it is possible to decide which of the two functions offers the best fit, in the sense of the least sum of squared errors (Gauss), by comparing:`sse_f=SumSquaredErrors[L,f]`

and`sse_g=SumSquaredErrors[L,g]`

.