Which, renewable or non-renewable energy, is more vital for the economic growth of OECD countries? A Bayesian hierarchical analysis by Nguyen Ngoc Thach

“…Conventional statistical methods face challenges like multicollinearity when exploring the impacts of these energy sources on economic growth. …”
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A Note on the Performance of Biased Estimators with Autocorrelated Errors by Gargi Tyagi, Shalini Chandra

“…It is a well-established fact in regression analysis that multicollinearity and autocorrelated errors have adverse effects on the properties of the least squares estimator. …”
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A Two-Stage Regularization Method for Variable Selection and Forecasting in High-Order Interaction Model by Yao Dong, He Jiang

“…On the other hand, hard ridge penalty function is able to handle both the high multicollinearity and selection inconsistency. The real data experiments reveal the superior performances to other comparing approaches.…”
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Procurement Practices and Public Service Delivery in a Developing Local Government by Moses, Agaba, Kalu O., Emenike

“…There is absence of multicollinearity in the variables. The estimates from the multiple regression analysis suggest that procurement policy; procurement planning and sustainable procurement have positive and significant effect on public service delivery at the 5% percent significance level. …”
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Product Innovation, Price Level And Competitive Advantage: A Perception Assessment Of Beer Products by Emenike O., Kalu, Olutayo, Osunsan, Moses, Agaba

“…The data approximates normal distribution, with absence of multicollinearity. The results of the multiple regression analysis indicate that product innovation and prices have significant effect on competitive advantage among beer products and producers in Kabale Uganda. …”
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Quality of Life: A Longitudinal Analysis of Correlates of Morale in Old Age by Said Shahtahmasebi

“…In order to assess the degree to which explanatory variables influence morale, an adequate statistical model must handle the possibility that substantial variation between respondents will be due to unmeasured and potentially unmeasurable variables (residual heterogeneity), multicollinearity, and past behaviour effect. These applications are illustrated using morale in old age from the North Wales Longitudinal Study Old Age. …”
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A New Conway Maxwell–Poisson Liu Regression Estimator—Method and Application by Muhammad Nauman Akram, Muhammad Amin, Faiza Sami, Adam Braima Mastor, Omer Mohamed Egeh, Abdisalam Hassan Muse

“…However, in the existence of multicollinearity, the estimates become unstable due to its high variance and standard error. …”
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Identifying Significant Macroeconomic Indicators for Indian Stock Markets by Prakash K. Aithal, Acharya U. Dinesh, M. Geetha

“…The need for dimensionality reduction and the existence of multicollinearity are proven using validation techniques such as the Kaiser-Meyer-Olkin and Bartlett tests. …”
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Understanding emotional and health indicators underlying the burnout risk of healthcare workers. by Elçin Güveyi, Garry Elvin, Angela Kennedy, Zeyneb Kurt, Petia Sice, Paras Patel, Antoinette Dubruel, Drummond Heckels

“…Both the Spearman Rank Correlation and the Variance Inflation Factor methods found no evidence for multicollinearity in our regression models. We showed how burnout can be explained using a handful of factors including emotional and mental health indicators. …”
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Correlation between physical, technical and tactical dimensions in under-20 category football players by Patrick Alan de Souza Pfeiffer, Júlio César Gomes da Silva, Eric de Lucena Barbosa, Rodrigo Wanderley de Sousa-Cruz, Luciano de Oliveira, Rodrigo Benevides Ceriani, Gilmário Ricarte Batista

“…The prerequisites of the model (linearity, normality of distributions, and absence of multicollinearity) were initially tested. Results and Conclusions Findings show that there are medium correlations between the technical-tactical and physical-tactical variables, as well as a high correlation between the technical-physical variables. …”
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Exploring Urban Crime Through the Lens of an Adaptive Region Partitioning Technique and Built Environment Features by Yuchen Yan, Hua Wang, Wei Quan, Yuxin Wang

“…Compared with the traditional partitioning method, the research unit under the ARP method exhibits improved intra-regional homogeneity and inter-regional heterogeneity characteristics, more accurately maps the spatial distribution characteristics of the urban data, effectively mitigates the risk of multicollinearity, improves the accuracy of the regression model, and provides a new and reliable regional partitioning scheme for crime research. …”
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Work Experience as an Intermediary: The Influence of Work Motivation and Transformational Leadership on Teacher Performance by Adelina Liunokas, Yuli Kurnawati Sugiyo Pranoto, Ali Formen

“…Hypothesis testing uses a normality test, significance test, linearity test, multicollinearity test, heteroscedasticity test, coefficient of determination test, and Sobel test. …”
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To Identify the Important Soil Properties Affecting Dinoseb Adsorption with Statistical Analysis by Yiqing Guan, Jianhui Wei, Danrong Zhang, Mingjuan Zu, Liru Zhang

“…Results indicate that pH and CEC had moderate relationship and lower direct effect on dinoseb adsorption parameter due to the multicollinearity with other soil factors, and organic carbon and clay contents were found to be the most significant soil factors which affect the dinoseb adsorption process. …”
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A comparative assessment of machine learning models and algorithms for osteosarcoma cancer detection and classification by Amoakoh Gyasi-Agyei

“…The empirical model based on the extra trees algorithm and fitted to class-balanced dataset via random oversampling and multicollinearity removed via principal component analysis proved to be the best, as it detected and classified osteosarcoma cancer in 10 ms with 97.8% area under the receiver operating characteristics curve and acceptably low false alarm and misdetection. …”
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Forecast generation model of municipal solid waste using multiple linear regression by J.A. Araiza-Aguilar, M.N. Rojas-Valencia, R.A. Aguilar-Vera

“…The compiled database consisted of 9 variables with 118 specific data per variable, which were analyzed using a multicollinearity test to select the most important ones. …”
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The interplay of perceived benefit, perceived risk, and trust in Fintech adoption: Insights from Sub-Saharan Africa by Thomas Appiah, Veronica Venyo Agblewornu

“…The estimated PLS-SEM model exhibits robustness, as there are no issues regarding unobserved heterogeneity, common method bias, or multicollinearity. Furthermore, the model demonstrates reasonable predictive accuracy as evidenced by acceptable R-square, F-square, and Q-square values. …”
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Managing the University’s Educational Process Based on Predicting Students’ Academic Performance by E. V. Alikina, D. V. Maltsev

“…Methods of mathematical statistics were used to analyze the data: determining the type of data distribution using the Shapiro-Wilk test, establishing the presence of multicollinearity in the construction of multiple regression by the Pearson criterion, establishing correlation dependencies by Spearman’s rank correlation method. …”
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Effects of Vehicle Restriction Policies on Urban Travel Demand Change from a Built Environment Perspective by Xiaoyun Cheng, Kun Huang, Lei Qu, Tianbao Zhang, Li Li

“…Fourteen variables from four dimensions, location, land-use diversity, distance to transit, and street design, are used to depict the built environment; moreover, the severe collinearity underlies these feature variables. To solve the multicollinearity among the variables and high-dimensional problem, this study utilizes two different penalization-based regression models, the LASSO (least absolute shrinkage and selection operator) and Elastic Net regression algorithms, to achieve the variable selection and explore the impacts of the built environment on the change of travel demand triggered by the LPR policy. …”
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Optimizing precision farming: enhancing machine learning efficiency with robust regression techniques in high-dimensional data by Nour Hamad Abu Afouna, Majid Khan Majahar Ali

“…However, it faces challenges such as managing complex variables, addressing multicollinearity, handling outliers, ensuring model robustness, and enhancing accuracy, particularly with small to medium-sized datasets. …”
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THE IMPACT OF GENDER DIVERSITY ON EARNINGS QUALITY OF LISTED FINANCIAL SERVICES FIRMS IN NIGERIA: ANALYSIS OF TWO-STAGE LEAST SQUARES by Joseph Olorunfemi Akande

“…Diagnostic tests, including Multicollinearity, Autocorrelation, Heteroskedasticity, and Normality, confirmed the robustness of the results. …”
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