Re: fitting a function

• To: mathgroup at smc.vnet.net
• Subject: [mg58355] Re: fitting a function
• From: "Jens-Peer Kuska" <kuska at informatik.uni-leipzig.de>
• Date: Tue, 28 Jun 2005 21:56:51 -0400 (EDT)
• Organization: Uni Leipzig
• References: <d9r4r4\$557\$1@smc.vnet.net>
• Sender: owner-wri-mathgroup at wolfram.com

```Hi,

<<NumericalMath`SplineFit`

and look into the documentation.

Regards

Jens

"Bosch, Darrell" <bosch at vt.edu> schrieb im
Newsbeitrag news:d9r4r4\$557\$1 at smc.vnet.net...
>
> Dear Group,  I have two questions:  First, I
> want to fit a function
> relating utility to income based on some
> elicited data.  For example,
> the following pairs might represent the income
> and utility values for an
> individual:  {10,000, .3}, {15,000, .5},
> {20,000, .6}, {25,000, .65}  I
> want to fit the data to a function and plot the
> resulting function.
> What is the best way to do this?  PolynomialFit
> seems like a logical
> choice, but it's not clear to me from the
> documentation how to specify
> the command for a series of pairs of points.
>
>
>
> Second, how do I plot the resulting value of a
> polynomial fit in the
> example below?  My 'ParametricPlot' command
> doesn't do the job.  Thanks
>
>
>
> << "NumericalMath`PolynomialFit`"
>
> In[28]:=
>
> p = PolynomialFit[{1, 4, 9,
>
>    16, 25, 36, 49}, 3]
>
> ParametricPlot[p, {p, 0, 6}, PlotRange -> All,
> Compiled -> True]
>
>
>
>
>

```

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