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Abstract
Linear regression consists in fitting a part
of a curve to a line and determining the line equation (slope and
x (y=0).
Experimental curve
Display: Type = Normal X = Current Y1
= Potential Y2 = No
The curve has been obtained from a Pot.
Linear V (demonstration curve: RCB200-B 005.CRV)
Settings
Results
Type = Normal X= Time Y1 = Current Y2 =
No
Conclusion
Linear regression is a post run processing
which can be used to check the linearity of various measurement
signals as, for example, the linearity of a current measurement
range.
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