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 > in advance for your help. Darrell Bosch > > > > << "NumericalMath`PolynomialFit`" > > In[28]:= > > p = PolynomialFit[{1, 4, 9, > > 16, 25, 36, 49}, 3] > > ParametricPlot[p, {p, 0, 6}, PlotRange -> All, > Compiled -> True] > > > > >