Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Tracking Sigmoid Regression with Multicollinearity in Phase I: An Approach Incorporating Control Charts Subject The topic of the resource Control Limits; Multicollinearity; Principal Component; Regression Control Chart; Sigmoid Regression Description An account of the resource Regression and quality control are two crucial techniques that data analysis employs in improving the decision-making process. We use the sigmoid function to model the connection between independent factors and the dependent variable in sigmoid regression. When there is a significant correlation among the independent variables in a regression model, multicollinearity a statistical phenomenon exists. Multicollinearity presents problems with higher uncertainty when estimating individual coefficients possibly making it harder to identify each variable's distinct contribution to the model. By suggesting a control chart specifically designed for the sigmoid regression model, this research presents a strategy to address the impact of influential observations using regression control charts, by making use of principal component regression class estimators. Principal component regression merges from the principal component analysis and linear regression methodologies, aiming to alleviate multicollinearity issues and enhances the stability of regression models. The performance of the model is evaluated using Pearson's residuals, Deviance residuals, and residuals. This strategy is proven to be useful in real world situations demonstrated through an application in the field of sleep wellness disorder. In conclusion, this study introduces a unique control chart to manage multicollinearity in sigmoid regression, providing a new perspective on the topic to spot differences in the underlying process by highlighting trends in the residuals. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Nancy M.; Joshi H. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-1051 LNNS, pp. 244-255. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-64850-2_23" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-64850-2_23</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201075511&amp;doi=10.1007%2F978-3-031-64850-2_23&amp;partnerID=40&amp;md5=89e6cb240f6da7ad700dc868f5229ee4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201075511&amp;doi=10.1007%2f978-3-031-64850-2_23&amp;partnerID=40&amp;md5=89e6cb240f6da7ad700dc868f5229ee4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-303164849-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nancy M., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bangalore, India; Joshi H., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bangalore, India