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 Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Saxena, Maanya; Sharma, Ashish; Raj, S. Stephen Title A name given to the resource Regression Analysis for Longitudinal Aging Study in India Data Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies;Volume;236;pp.149-161 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-0451-7_10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-0451-7_10</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105002446628?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002446628?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saxena M., CHRIST (Deemed to be University), Ghaziabad, 201003, India; Sharma A., CHRIST (Deemed to be University), Ghaziabad, 201003, India; Raj S.S., CHRIST (Deemed to be University), Ghaziabad, 201003, India Description An account of the resource This paper examines the Longitudinal Aging Study in India (LASI) and its role in providing valuable insights into the health, social, psychological, and economic well-being of the older Indian population. The paper examines the use of dependent independent variables in a multiple linear regression model, tests assumptions of linearity, and examines the significance of the overall model and the individual variables. There are 190 variables in the dataset being used. This paper presents the results of comparing the regression models obtained through basic, forward, and stepwise selection methods where the model obtained using the stepwise selection method, when all the linearity assumptions are satisfied, explains 86.51% of the variation in the dependent variable and the Adjusted R-squared of the model is 0.8374. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Data analytics; Healthcare; Linearity assumptions; Longitudinal aging; Regression; Selection methods; Statistics Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23674512; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online