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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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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The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of Ghana by Harriet Achiaa Dwamena, Kassim Tawiah, Amanda Serwaa Akuoko Kodua

“…Separate multiple linear regression models were obtained for crop yield per hectare of land under all the climatic conditions. …”
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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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THE IMPACT OF CORPORATE GOVERNANCE PRACTICES ON POST-MERGER PERFORMANCE by Ali İhsan Akgün

“…The relation between the post-merger performance and corporate governance mechanism is examined using Linear regression model for a sample of US, Canada, EU-28 and Western European countries listed firms for the period from 2003 to 2012. …”
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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

“…Using a multiple linear regression model, burnout was found to be most associated with depression, receptiveness, mental wellbeing, and connectedness (p<0.05). …”
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Medication adherence and health-related quality of life among patients with chronic obstructive pulmonary disease by Horvat Nejc, Locatelli Igor, Kos Mitja, Janežič Ana

“…George’s Respiratory Questionnaire and the Morisky Medication Adherence Scale were used to evaluate HRQoL and adherence, resp. A multiple linear regression model was used to assess the association between the factors and HRQoL. …”
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Exploration of the relationship between primary dysmenorrhea, pain perception, and menstruation-related quality of life in young women: a cross-sectional observational study by Rebeca Del Prado, María García-Arrabé, Ángel González-de-la-Flor, Marta De La Plaza San Frutos, Jaime Almazán Polo, Fabien Guérineau, Cecilia Estrada-Barranco

“…Menstruation-related quality of life was affected in terms of health perception, psychological aspect, and symptoms among women with PD. The linear regression model demonstrated that catastrophizing explained 42.8% of the variance in menstruation-related quality of life.ConclusionsThese findings underscore the importance of addressing dysmenorrhea in young women, as it significantly impacts their quality of life related to menstruation. …”
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Integrated Financial Management Systems on Organizational Performance in Uganda. A Case Study of Kabale Municipal Council. by Tumwebaze, Shaban

“…The bivariate correlations between the predictor components and the dependent variable were examined using a Pearson correlation matrix. A linear regression model was used to fit the data. The regression model's research results show that budgeting (R=0.767), commitment controls (R=0.656), and cash management (R=0.799) all have a favorable effect on Kabale Municipal Council performance. …”
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The impact of internal controls on SACCO performance in Rukiga, Uganda by moses Agaba

“…The bivariate correlations between the predictor components and the dependent variable were examined using a Pearson correlation matrix, and a linear regression model was used to fit the data. Results: The regression model results showed that segregation of duties (R=762), independent checks (R=676), and risk management (R=899) had beneficial influence on Rukiga SACCO performance. …”
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Public Procurement Practices and End-User Satisfaction in Uganda: A Case of Rubanda District Local Government. by Asiimwe, Medard Katabazi

“…At the bivariate level, a Pearson correlation matrix was conducted to ascertain the effect 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 transparency (R=.463**, P<0.001), competition ((R=.219, P<0.001) and nondiscrimination (R=.493**, P<0.001) have a positive significance on the service delivery in Rubanda district local government. …”
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Record Keeping Systems and Service Delivery in Uganda: Case Of Kabale District Local Government by Turyasingura John Bosco, agaba moses, Kabagambe Jesse David, Barigye Godfrey

“…The bivariate correlations between the predictor elements and the dependent variable were examined using a Pearson correlation matrix. A linear regression model was used to fit the data. Record keeping systems (R=889) has a favorable influence on the capacity of the local administration of the Kabale District, per the research findings from the regression model. …”
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Length–weight relations and condition factors of several endemic and native fish species from Anatolian freshwater by Onay Hatice, Kurtul Irmak, Kaya Cüneyt, Turan Davut, Bayçelebi Esra

“…Analyses were based on a total number of individuals, which was n = 304. A linear regression model was applied to determine the relationship between fish length and weight. …”
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The Influence of Domestic Players on the Success in National and International Competitions in Football by Michal Varmus, Pavol Boško, Roman Adámik, Dominika Toman, Zakaria Elkhwesky

“…These were tested using a statistical algorithm including the Pooled linear regression model, Fixed effects models, Random effects models, and the ANOVA test. …”
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An Evaluation of Ad Hoc Presence-Only Data in Explaining Patterns of Distribution: Cetacean Sightings from Whale-Watching Vessels by Louisa K. Higby, Richard Stafford, Chiara G. Bertulli

“…Including absences as well as presence in the analysis resulted in a multiple-generalised linear regression model with significantly more explanatory power than when data were presence only. …”
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Calibration of miniature air quality detector monitoring data with PCA–RVM–NAR combination model by Bing Liu, Yirui Zhang

“…Root mean square error, goodness of fit, mean absolute error and relative mean absolute percent error are used to compare the calibration effect of PCA–RVM–NAR model and other commonly used models such as multiple linear regression model, support vector machine, multilayer perceptron neural network and nonlinear autoregressive models with exogenous input. …”
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A mobile localization method based on a robust extend Kalman filter and improved M-estimation in Internet of things by Nan Hu, Chuan Lin, Fangjun Luan, Chengdong Wu, Qi Song, Li Chen

“…In this article, a novel method based on the nearest neighbor variable estimation is proposed to mitigate the non-line-of-sight error. First, the linear regression model of the extended Kalman filter is used to obtain the residual of the distance measurement value. …”
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