| http://www.w3.org/ns/prov#value | - This is achieved by partitioning the total variance in a measured outcome into its sources: The components that are due to differences between means (SS Effects); which means variance that can be explained, such as by a regression model or an experimental treatment assignment and a component that is due to true random error (SS Error), which means a variance that cannot be explained.
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