Outlier detection

This scatter graph (scattergraph. scatter chart, scatter plot, scatterplot, scatter diagram) sample shows outliers. It was designed on the base of data from the Engineering Statistics Handbook on the website of the National Institute of Standards and Technology (NIST), the U.S. Department of Commerce. "An outlier is defined as a data point that emanates from a different model than do the rest of the data. The data here appear to come from a linear model with a given slope and variation except for the outlier which appears to have been generated from some other model. Outlier detection is important for effective modeling. Outliers should be excluded from such model fitting. If all the data here are included in a linear regression, then the fitted model will be poor virtually everywhere. If the outlier is omitted from the fitting process, then the resulting fit will be excellent almost everywhere (for all points except the outlying point)." [itl.nist.gov/div898/handbook/eda/section3/eda33qa.htm] The scatter chart example "Outlier detection" was created using the ConceptDraw PRO diagramming and vector drawing software extended with the Scatter Diagrams solution from the Statistical Charts and Diagrams area of ConceptDraw Solution Park.