While the Goal Seek feature is interesting and I thank you for
bringing it up, I don't think it answers my problem.

I'm attempting to make a predictive model, so I'm looking for a method
to determine the best X and Y value to fit the data set. So, while X
and Y certainly change from record to record, I want to determine the
best singular X and Y values to fit the data set at large.

So, the answer to your question of how I'm determining the X and Y is
that I don't know! That's why I'm posting here -- to come up with a
method of determining a proper X and Y in a non-linear equation.

Thanks again for your help!

On Nov 24, 10:35 pm, Dilip Pandey <dilipan...@gmail.com> wrote:
> Hi Bob,
>
> I have done something in the attached file.
> I believe if the x and y are not fixed at all the time, then we can
> use Goal Seek feature of Excel to obtain the desired results.
> Question:- How are you determining X and Y when you already have As and Bs.
>
> Best Regards,
> DILIPandey
>
> On 11/23/10, Bob <bobwo...@gmail.com> wrote:
>
>
>
>
>
>
>
>
>
> > Hello,
>
> > Thanks for your response!
>
> > Here's a random sampling of the data:
>
> > 169        140     10
> > 164        197     19
> > 50 339     31
> > 73 326     19
> > 204        238     34
> > 143        201     18
> > 59 74      3
> > 296        216     20
> > 31 121     9
> > 108        148     7
> > 139        317     24
> > 41 263     14
> > 233        286     35
> > 221        121     17
> > 111        304     25
> > 39 325     13
> > 201        211     37
> > 474        102     72
> > 28 158     7
> > 268        230     34
> > 246        202     19
> > 199        208     50
> > 144        447     48
> > 358        138     61
> > 300        8       27
> > 301        255     37
> > 197        169     24
> > 236        205     54
> > 28 329     14
> > 150        159     23
> > 244        298     52
> > 74 108     6
> > 202        159     37
> > 259        127     23
> > 19 350     16
> > 189        131     29
> > 40 183     17
> > 369        255     62
> > 122        236     3
> > 310        201     51
> > 95 162     10
> > 335        162     37
> > 91 447     55
> > 171        179     21
> > 110        215     9
> > 87 242     17
> > 328        219     49
> > 225        182     21
> > 245        243     42
>
> > The data in the first two columns (A and B for purposes explained
> > below) are the independent variables, with the third column being the
> > dependent (C)
>
> > Currently, the equation I'm using is:
>
> > -10.5348929531027+0.113896884380505*A+0.0893951738657916*B = C
>
> > As mentioned, this does not fit the data particularly well. It
> > predicts too low a result when A and B are small, and too high a
> > result when A and B are large. For this reason, I believe a
> > logarithmic curve will best represent the data ... but other
> > suggestions are also certainly welcome.
>
> > Hope you, or someone, can help! Thank you.
>
> > On Nov 23, 9:13 am, Dilip Pandey <dilipan...@gmail.com> wrote:
> >> Hi Bob,
>
> >> This seems to be interesting to me.  Would you mind providing some
> >> sample data with the the indicative result which you want to obtain
> >> through Excel.
>
> >> Best Regards,
> >> DILIPandey
>
> >> On 11/23/10, Bob <bobwo...@gmail.com> wrote:
>
> >> > Good afternoon,
>
> >> > I have a fairly large data set (roughly 7,000 samples) on which I
> >> > would like to run some nonlinear regression analysis.
>
> >> > I'm fully capable of using the Data Analysis Toolpak and running the
> >> > linear analysis there, but unless I'm totally missing it, there
> >> > doesn't seem to be a method for running nonlinear analysis.
>
> >> > To be clear, what I want to do is take this data, which is in three
> >> > columns, and essentially put together an equation to represent Ax +
> >> > By
> >> > = C.
>
> >> > However, this data does not seem to be all that well represented by a
> >> > linear equation, and I believe it would be more precise to use an
> >> > exponential or logarithmic model along the lines of A^x + B^y = C.
>
> >> > Can anyone help?
>
> >> > Thank you!
>
> >> > --
> >> > ---------------------------------------------------------------------------
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>
> >> DILIP KUMAR PANDEY
> >>   MBA-HR,B.Com(Hons),BCA
> >> Mobile: +91 9810929744
> >> dilipan...@gmail.com
> >> dilipan...@yahoo.com
> >> New Delhi - 62, India
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> > 1. Follow us on TWITTER for tips tricks and links :
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> > 3. Excel tutorials athttp://www.excel-macros.blogspot.com
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>
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>
> > <><><><><><><><><><><><><><><><><><><><><><>
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> --
> Thanks & Regards,
>
> DILIP KUMAR PANDEY
>   MBA-HR,B.Com(Hons),BCA
> Mobile: +91 9810929744
> dilipan...@gmail.com
> dilipan...@yahoo.com
> New Delhi - 62, India
>
>  Analysis.xls
> 22KViewDownload

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