Bias and linearity assess the accuracy of a gage.
- Bias examines the difference between the observed average measurement and a reference value.
Bias indicates how accurate the gage is when compared to a reference value.
- Linearity examines how accurate your measurements are through the expected range of the
measurements. Linearity indicates whether the gage has the same accuracy across all reference values.
A P-value smaller then 0.05 indicates that a linear equation fits well to the data.
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