       How to show level of accuracy from original data FROM Re: Coefficients from Fit as a list?

• To: mathgroup at smc.vnet.net
• Subject: [mg63424] How to show level of accuracy from original data FROM Re: [mg63396] Coefficients from Fit as a list?
• From: "Lea Rebanks" <lrebanks at onetelhk.net>
• Date: Fri, 30 Dec 2005 04:43:49 -0500 (EST)
• Sender: owner-wri-mathgroup at wolfram.com

```Hi Bob,

When using FindFit to give the best linear approximation to data set
points. Could you show me a simple example of code / function to show
level of accuracy / error deviation from original data set.

Many thanks

Lea Rebanks...

-----Original Message-----
From: Bob Hanlon [mailto:hanlonr at cox.net]
To: mathgroup at smc.vnet.net
Subject: [mg63424] [mg63414] Re: [mg63396] Coefficients from Fit as a list?

points={{0,-1},{1,2},{3,7},{4,6},{7,9},{11,14}};

Fit[points,{1,x,x^2},x]

-0.0592841*x^2 + 1.89613*x - 0.113262

Reverse@Most@Cases[%,_?NumericQ,Infinity]

{-0.0592841,1.89613,-0.113262}

param={a,b,c};

param/.FindFit[points,a*x^2+b*x+c,param,x]

{-0.0592841,1.89613,-0.113262}

Needs["Statistics`NonlinearFit`"];

param/.(BestFitParameters/.
NonlinearRegress[points,
a*x^2+b*x+c, x, param])

{-0.0592841,1.89613,-0.113262}

Bob Hanlon

>
> From: "LectorZ" <lectorz at mail.ru>
To: mathgroup at smc.vnet.net
> Date: 2005/12/29 Thu AM 02:57:28 EST
> Subject: [mg63424] [mg63414] [mg63396] Coefficients from Fit as a list?
>
> Hi there,
>
> How can I store the coefficients from the Fit function as a list?
>
> Thanks,
>
> LZ
>
>

```

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