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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How university governance affects education service quality: insights from Ethiopian public universities by Bekele Atanaw, Ashebir Bezabih Estifanos, Habtamu Gezahegn Negash

“…The study utilized a multiple linear regression model, which made use of quantitative data sources. …”
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Real-Time Quantitative Evaluation on the Longitudinal Slip Performance of Spherical Steel Bearings of Long-Span Bridges by Shiyang Xu, Xin Zhou, Gaoxin Wang, Youliang Ding

“…Correlation analysis shows that this relationship is well described by a time-varying multiple linear regression model. Furthermore, bearing friction is used as an index for real-time quantitative evaluation, and a large value of bearing friction indicates serious damage. …”
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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 avaliação da lei complementar n° 233/2005 em relação a exploração sustentável das florestas em Mato Grosso: sua eficácia nas políticas ambientais no Brasil by Alessandra Maria Filippin dos Passos Santos, Aumeri Carlos Bampi, Wylmor Constantino Tives Dalfovo

“…To analyze the behavior of deforestation in relation to the independent variables, a multiple linear regression model was used. The estimation resulted in a positive relationship between management and deforestation, demonstrating the feeling of false legality. …”
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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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An Ionospheric Climate Index Based on GNSS by Cheng Wang, Yuting Li, Jicang Wu, Lei Fan, Zhipeng Wang, Chen Zhou, Chuang Shi

“…In addition, we build a multiple linear regression model for fitting ICI using the SSN, F10.7, Ap, and Dst indices and upper atmospheric wind field. …”
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A avaliação da lei complementar nº 233/2005 em relação a exploração sustentável das florestas em Mato Grosso: sua eficácia nas políticas ambientais no brasil by Alessandra Maria Filippin dos Passos Santos, Aumeri Carlos Bampi, Wylmor Constantino Tives Dalfovo

“…To analyze the behavior of deforestation in relation to the independent variables, a multiple linear regression model was used. The estimation resulted in a positive relationship between management and deforestation, demonstrating the feeling of false legality. …”
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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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The Determinants of Stock Market Performance Among Registered Companies in Tanzania: A Case of Dar Es Salaam Stock Exchange by Victor Mvanda, Pastory Dickson, Albinus Majula

“…Furthermore, the analysis of quantitative data using the Generalized Linear Equation Model (GLM), Mixed Generalized Linear Regression Model (MGLM), and Panel Regression Model (PRM) helped to obtain results for generalization. …”
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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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