Sources of high leverage in linear regression model
Myung Geun Kim

TL;DR
This paper analytically investigates the sources of high leverage in linear regression by decomposing leverage into meaningful components, providing insights for data analysis and potential remedial actions.
Contribution
It introduces a decomposition approach to understand high leverage points in linear regression, aiding in better diagnostics and data cleaning.
Findings
Leverage can be decomposed into meaningful components.
Decomposition helps identify sources of high leverage.
Results facilitate remedial actions in data analysis.
Abstract
Some reasons for high leverage are analytically investigated by decomposing leverage into meaningful components. The results in this work can be used for remedial action as a next step of data analysis.
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Taxonomy
TopicsAdvanced Statistical Methods and Models · Advanced Statistical Process Monitoring · Spectroscopy and Chemometric Analyses
