A New Ridge-Type Estimator for the Gamma Regression Model by Adewale F. Lukman, Issam Dawoud, B. M. Golam Kibria, Zakariya Y. Algamal, Benedicta Aladeitan

“…The known linear regression model (LRM) is used mostly for modelling the QSAR relationship between the response variable (biological activity) and one or more physiochemical or structural properties which serve as the explanatory variables mainly when the distribution of the response variable is normal. …”
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The influence of transactional leadership style and transformational on organizational commitment with compensation as a moderating variable by Lukieto Cahyadi, Willy Cahyadi

“…The analysis technique used in this study is the Multiple Linear Regression model. The results of the study show that the Transactional Leadership Style (X1) and the Transformational Leadership Style (X2) have a significant simultaneous effect on the Organizational Commitment variable (Y). …”
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Application of Linear Regression Mathematical Model in the Evaluation of Teachers’ Informatization Quality by Shuping Li, Xinlei Yuan

“…This paper uses regression analysis to evaluate the teacher education information system and uses mathematical statistics to establish a linear regression model for the city and analyze and calculate it. …”
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Extents of Predictors for Land Surface Temperature Using Multiple Regression Model by R. M. Yuvaraj

“…The result indicates that LST is inversely proportional to NDVI (−6.369) and slope (−0.077) whereas LST is directly proportional to NDBI (+14.74). Multiple linear regression model has been applied to calculate the extents of NDVI, NDBI, and slope on the LST. …”
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Predictors of postoperative hospital length of stay after total knee arthroplasty by Davide Tornese, Alessandro Robustelli, Gabriele Ricci, Paola Maria Vittoria Rancoita, Nicola Maffulli, Giuseppe Michele Peretti

“…Clinical and anthropometric data were analysed using a multivariate linear regression model. Results: The average LOS was 5.08 ± 2.52 days in the Department of Orthopaedic Surgery and 12.67 ± 5.54 days in the Sports Rehabilitation Unit. …”
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Direct hospitalisation cost of patients with chronic obstructive pulmonary disease, covered by the National Health Insurance at Vinh Phuc General Hospital from 2015 to 2019 by Nguyen Viet Phu, Nguyen Thi Mai Phuong, Dang Huu Duc, Vuong Trong Hieu, Tran Thi Hang, Nguyen Thien Phong, Le Hong Phuc, Pham Nu Hanh Van

“…A multivariate generalised linear regression model was used to identify factors associated with hospitalisation costs. …”
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Enhancing Predictive Models in E-Commerce: A Comparative Study Using XGBoost Across Diverse Scenarios by Zhang Jianhao

“…By identifying patterns in the data, we aim to make the predictions more tangible and assess the validity of our approach through a statistical linear regression model. We employed three different models—Gradient Boosting Decision Tree (GBDT), Light Gradient Boosting MachineLight (GBM), and Extreme Gradient Boosting (XGBoost)—to determine which one is the most efficient. …”
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Does handgrip strength effect pulmonary function in healthy children? by Muhammet Hakan Mayda, Serhat Erail

“…In statistical analysis, Pearson correlation and linear regression model were used. A significant correlation was found between right and left hand grip strength and FVC, FEV1 and PEF (p<0.05). …”
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E-Banking Adoption and Business Performance of SMES in Uganda a Case Study of Kabale Municipality. by Nakazibwe, Martha

“…At the bivariate level, a Pearson correlation matrix was conducted to ascertain the relationships between the predictor variables and the dependent variable. A linear regression model was used to fit the data. Research findings from the regression model show that level of e-banking adoption (R= r=668**), level of business performance (R=456 and relationship between variables (R=549) have a positive significance. …”
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Financial Accountability and Service Delivery in Uganda: A Case of Kabale District Local Government. by Biryomumeisho, Fadison

“…At the bivariate level, a Pearson correlation matrix was conducted to ascertain the relationships between the predictor variables and the dependent variable. A linear regression model was used to fit the data. Research findings from the regression model show that funds disbursement(R=862), Auditing process (R=656 and records keeping systems(R=899) have a positive significance on the service delivery Kabale District Local Government. …”
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The effect of participatory project design on project success in government funded project in Uganda: A case study of parish development in Kabale District by moses Agaba

“…An analysis of the data was done using a linear regression model. Results of the regression analysis demonstrate that participatory project design has a beneficial effect on the effectiveness of parish development models in the Kabale District (coef = -0.780, p-value = 0.000). …”
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Financial Accountability and Service Delivery in Uganda. A Case Study of Kabale District Local Government. by Amanyebirungi, Mackline

“…At the bivariate level, a Pearson correlation matrix was utilized to explore the relationships between the predictor and dependent variables. A linear regression model was applied to fit the data. The research findings indicated that funds disbursement (R=0.862), the auditing process (R=0.656), and records-keeping systems (R=0.899) all positively and significantly influence service delivery in the Kabale District local government. …”
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Metabolomic and proteomic profiling of a burn-hemorrhagic shock swine model reveals a metabolomic signature associated with fatal outcomes by Bin Wei, Jinguang Zheng, Jiake Chai, Jianxiang Huang, Hongjie Duan, Shaofang Han, Xiaolin Yang, Wenjia Zhang, Fangchao Hu, Yirui Qu, Xiangyu Liu, Tian Liu, Yushou Wu, Yunfei Chi

“…Furthermore, the integrate analysis of the metabolomic and proteomic data was generalized by canonical correlation discriminant analysis, and the correlation between metabolites and mortality of the swine model was predicted using a multiple linear regression model by Pearson analysis. Results PLS–DA revealed a global shift in each of the metabolomic and proteomic profiles following injury. …”
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Does handgrip strength effect pulmonary function in healthy children? by Muhammet Hakan Mayda, Serhat Erail

“…In statistical analysis, Pearson correlation and linear regression model were used. A significant correlation was found between right and left hand grip strength and FVC, FEV1 and PEF (p<0.05). …”
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Uma investigação da relação entre o Produto Interno Bruto (PIB), a inflação e o desemprego no Brasil (de 1999 a 2015) by Diogo Del Fiori, Salomão Franco Neves, Hecília Ricardo da Silva, Raphael Ribeiro Costa

“…To achieve the objective, we used a descriptive methodology, ex post facto and quantitative method, using the linear regression model to investigate the relations along with the analysis of the average rate of change of the period. …”
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High School Scores to College Performance: Exploring the Predictive Validity of Grade 12 Standardized Test Scores for University GPA by Abdurrahman Wahab, Hemin Ibrahim

“…As AI-based algorithms, Linear Regression model yielded a mean square error (MSE) of 0.2228 and R² of 0.1774, while Neural Network model produced an MSE of 0.2383 and R² of 0.1204. …”
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The influence of corporate governance elements on the disclosure of sustainability reporting by Gilbert Immanuel, Elfina Astrella Sambuaga

“…This research utilizes secondary data sources obtained from the official BEI website, the respective company websites, and S&P Capital IQ to fulfill the data completeness tested with a multiple linear regression model using SPSS application. The research results indicate that the size of the commissioners and the frequency of audit committee meetings have a positive impact on sustainability reporting disclosure. …”
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Common Expression Quantitative Trait Loci Shared by Histone Genes by Hanseol Kim, Yujin Suh, Chaeyoung Lee

“…We examined common eQTLs for multiple histone genes in 373 European lymphoblastoid cell lines (LCLs). A linear regression model was employed to identify single-nucleotide polymorphisms (SNPs) associated with expression of the histone genes, and the number of eQTLs was determined by linkage disequilibrium analysis. …”
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KEY MACROECONOMIC DETERMINANTS OF GOVERNMENT DEBT – THE CASE OF NORTH MACEDONIA by Filip Taskovski

“…The multiple linear regression model was applied in the empirical part of the research, in which five variables are incorporated. …”
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A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data. by Lulu Pan, Qian Gao, Kecheng Wei, Yongfu Yu, Guoyou Qin, Tong Wang

“…Extensive simulation experiments as well as an application demonstrate that Trans-PtLR demonstrates robustness and better performance of estimation and prediction when heavy-tail and outliers exist compared to transfer learning for linear regression model with normal error distribution. Data integration, Variable selection, T distribution, Expectation maximization algorithm, Genotype-Tissue Expression, Cross validation.…”
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