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One should always honor their data. Why would you force it to go through
zero? That's backwards. If you have a model that predicts your data should
go through zero, then one should look for reasons why it doesn't.
Otherwise, why bother acquiring the data in the first place?
Dan Beeker
On May 21, 2015, at 12:00 PM, phys-l-request@www.phys-l.org wrote:
Date: Thu, 21 May 2015 08:50:17 +000003A5CDAD2EA0864F9A5E4157AC2EBD945A65E54C@ASGARD-2.istekkipalvelut.fi>
From: Savinainen Antti <antti.savinainen@kuopio.fi>
To: "phys-l@phys-l.org" <phys-l@phys-l.org>
Subject: [Phys-L] Question on data analysis
Message-ID:
<
Content-Type: text/plain; charset="us-ascii"trendline through the origin. Of course,
Hi,
spreadsheet programs usually have a feature which allows to force a
the same thing can be done manually as well. My question is: when it isreasonable to force a trendline through the origin? I mean, a non-zero
y-xis intercept may have a physical interpretation or it may indicate
systematic error in measurements or (more realistically) may be a
combination of both. Given these, what could be a benefit for the forcing
of the trendline through the origin?
insists that her studenst must force a trendine through the origin (in case
The question was motivated by an observation that a chemistry colleague
there is no chemical interpretation, I suppose) for the y-axis intercept.
Regards,
Antti
Finland
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