Thank you for your reply, and thank yuo to del whjo replied earlier, using
the slope and intercept functions as suggested I can indeed get the figure
I'm looking for. There is a problem however....
These funtions only seem to work only if the trendline is based on linear
regression, unfortunately the data from the test needs to be plotted in a
different way, I've found so far that polynomial regression seems to give the
best results and draws a trend that looks closest to what we do by hand.
In some cases a speech curve will experience what we call "rollover" i.e.
the ability of the patient to hear speech will deterioriate (rather than
increase) as the intensity of speech sounds are raised. This effect is
characteristic of neural lesions and back in the day before MRI used to be
used as part of diagnostic assessments of brain tumors amongst other things.
Its very important then that any trendline that is drawn from the data will
accurately display this rollover... My question is then, is there a way I can
use these functions or any others to get the results from the x axis with a
different sort of trendline that can reflect the above mentioned rollover
effect?
Thanks again for your help
Jerry W. Lewis - 08 Sep 2006 22:11 GMT
The LINEST and TREND worksheet functions can fit polynomial models. The
appropriate syntax is discussed at
http://people.stfx.ca/bliengme/ExcelTips/Polynomial.htm
You can use Solver to find an x value for which TREND achieves the desired
value.
Jerry
> Thank you for your reply, and thank yuo to del whjo replied earlier, using
> the slope and intercept functions as suggested I can indeed get the figure
[quoted text clipped - 16 lines]
> Thanks again for your help
>
Del Cotter - 08 Sep 2006 23:16 GMT
>In some cases a speech curve will experience what we call "rollover" i.e.
>the ability of the patient to hear speech will deterioriate (rather than
[quoted text clipped - 6 lines]
>different sort of trendline that can reflect the above mentioned rollover
>effect?
A polynomial function might do it to your satisfaction, but check the
literature to see if there are models for the resulting curves in
hearing acuity. It's best to follow a model if there's one available.
In general there is a way to use Excel to get a curve fitted for any
function you can think of. I confess I never have used the TREND() or
LINEST() functions myself; I always preferred to use a roll-your-own
version which I fitted using the Goal Seek add-in under Tools. This may
mean I have unrealistic expectations of the built-in Excel curve-fitting
functions.

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Del Cotter
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Ahab - 12 Sep 2006 10:24 GMT
Thanks for the replies again
Funnily enough I can find nothing in the literature dealing with how the
curve should be drawn, pretty much every text assumes the line will be drawn
by hand to a "best fit curve". I'll give a go to the linest and trend
functions over the next few days and report back. I must say though I was a
little dismayed by the formula for calculating polynomial regression, I
rather thought before I got started on this that working out how to get excel
to computerise the analysis of speech audios would be pretty straightforward
and take me an hour or two, instead I've opend the lid of some terrible
pandoras box of statistics!