The plot is drawn as a scatter plot where each point represents a pair of concentrations for one laboratory. The expected values for the two samples are drawn as solid blue lines. The median of the measured values excluding outliers is drawn as dotted lines. The solid lines divide the plot in four quadrants.
If errors are due to random factors, the points will be evenly distributed around the mean value and situated in all four quadrants.
If systematic errors dominate, the results will be close to a 45° reference line, and be situated in the upper right quadrant (overestimation) or lower left quadrant (underestimation).
Drawing a line from a given point perpendicular on the 45° reference line gives two line segments, one from the point to the intercept on the reference line (a), and one continuing from the intercept to the point representing the expected values (b). The lengths of these line segments are measures of the random and systematic errors respectively.
Ellipses with radii corresponding to the data quality objectives (DQO) are added in each plot. The data points are colour coded depending on the magnitude of errors.
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