Single Outlier At End Point
Outliers are often caused by manual errors in recording experimental data.
Common Problems In Curve Fitting
Single Outlier At Mid Point
Outliers are often caused by manual errors in recording experimental data.
Fitting Parallel Data
This is often caused by environmental changes during data collection, such as temperature changes on different days when making multiple data collection runs.
Data With A Large Step
This is often caused by environmental changes during data collection such as a temperature change during a lunch break.
Data With A Poorly Defined Region
This can be mitigated by taking additional data in the region that is poorly defined.
Equation Missing An Offset
This illustrates the effect of fitting data with an offset to an equation that does not have one.
This can be caused by experimental equipment introducing bias (such as a DC offset) during data acquisition. Fitting the data to an equation with an offset will reveal the bias.
Data Scatter Over Entire Range
The effect of data scatter can be reduced by increasing the total number of data points.
Fitting Random Data
This illustrates the effect of fitting completely random data that has no relationship of any kind.
