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A Study on Multiple Linear Regression Analysis
Open accessAbstract
Regression analysis is a statistical technique for estimating the relationship among variables which have reason and result relation. Main focus of univariate regression is analyse the relationship between a dependent variable and one independent variable and formulates the linear relation equation between dependent and independent variable. Regression models with one dependent variable and more than one independent variables are called multilinear regression. In this study, data for multilinear regression analysis is occur from Sakarya University Education Faculty student's lesson (measurement and evaluation, educational psychology, program development, counseling and instructional techniques) scores and their 2012- KPSS score. Assumptions of multilinear regression analysis- normality, linearity, no extreme values- and missing value analysis were examined. The data that verify the assumptions were analyzed with multiple regression and lessons measurement and evaluation, instructional techniques, counseling, program development and educational psychology were estimate the KPSS respectively.
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Cited by
Møgelvang, A., & Grassini, S. (2025) · Discover Education · doi:10.1007/s44217-025-00657-6 · Cited by 16
“To investigate the relationship between the students’ demographic characteristics and their AIAS-4 scores, we ran multiple linear regression analyses [50].”
Metadata
- Authors
- Uyanık, G. K., & Güler, N.
- Venue
- Procedia - Social and Behavioral Sciences
- Publisher
- Elsevier BV
- Published
- 2013-12
- Volume
- 106
- Pages
- 234-240
- ISSN
- 1877-0428 (ISSN-L)
- OpenAlex
- W2009927598
- Cited by
- 1,172
- References
- 0
- FWCI
- 6.34
- Type
- conference paper
- Language
- en
- Open access
- diamond
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by-nc-nd/3.0/ (vor, 50 d)
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- The paper
- Uyanık, G. K., & Güler, N. (2013). A Study on Multiple Linear Regression Analysis. Procedia - Social and Behavioral Sciences. https://doi.org/10.1016/j.sbspro.2013.12.027
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
