Unexpected Smoking-Linked High MMP-9 in Induced Sputum of Hazardous Dust-Exposed Workers by Yehuda Lerman, Abraham Moscovich, Elizabeth Fireman

“…MMP-9 and TIMP-1 levels were similar for both groups. A linear regression model for MMP-9 based on exposure, smoking habits, and proportion of particles <5 μ revealed a positive correlation between each of the explanatory variables and MMP-9 values. …”
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Strong Consistency of Estimators in a Partially Linear Model with Asymptotically Almost Negatively Associated Errors by Yu Zhang, Xinsheng Liu, Mohamed Sief

“…This paper studies a heteroscedastic partially linear regression model in which the errors are asymptotically almost negatively associated (AANA, in short) random variables with not necessarily identical distribution and zero mean. …”
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The moderating role of strategy and environment on the relationship between corporate liquidity and investment: evidence from panel data by Celísia Baptista, Fernanda Matias, Patrícia Oom do Valle

“…In order to test the moderating role of corporate strategy and industry environment in the effect of liquidity on investment for Portuguese manufacturing firms, we developed a multiple linear regression model for panel data. It is a static model with three types of variables: financial; strategic/environmental; and interactive. …”
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Determinants of Public Sector Innovation: The Example of Capacity Development in Public Procurement by Nils Otter, Mike Weber

“…Five hypotheses were derived and then tested empirically by using a data set about German public procurement practice. Our linear regression model provides evidence for the hypotheses that framework conditions, special training, and motivation of procurement staff play a central role in demand-driven innovation of the public sector.…”
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Unexpected Smoking-Linked High MMP-9 in Induced Sputum of Hazardous Dust-Exposed Workers

“…MMP-9 and TIMP-1 levels were similar for both groups. A linear regression model for MMP-9 based on exposure, smoking habits, and proportion of particles <mml:math alttext="$<5$"> <mml:mrow> <mml:mo>&#x003C;</mml:mo><mml:mn>5</mml:mn> </mml:mrow> </mml:math> <mml:math alttext="$mu$"> <mml:mi>&#x03BC;</mml:mi> </mml:math> revealed a positive correlation between each of the explanatory variables and MMP-9 values. …”
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Relationship between Monthly Rainfall in NW Peru and Tropical Sea Surface Temperature by Juan Bazo, María de las Nieves Lorenzo, Rosmeri Porfirio da Rocha

“…The results show that linear regression model is not enough to provide satisfactory results; however, a nonlinear regression model improves considerably the prediction of rainfall anomalies in NW Peru.…”
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Managers’ attitudes to creativity and innovation practices in the creative industries by Fernando Cardoso de Sousa, Florbela Nunes, Ileana Pardal Monteiro

“…The results, derived from a linear regression model (two factors for the scale of attitudes - Leadership and Autonomy - and for the inventory of business practices - Performance and Strategy), confirmed the proposition by revealing the influence of the creative attitudes of managers regarding the company's innovative practices, fundamentally on Strategy, especially in the creative industries segment. …”
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VALIDATION OF REAL-TIME REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION FOR INDIRECT ASSESSMENT OF FMD VIRUS TITRE by D. A. Lozovoy, M. I. Doronin, V. A. Starikov, D. V. Mikhalishin, A. A. Shishkova, A. M. Timina, A. B. Borisov

“…Procedure for validation of the method for indirect assessment of cultural FMD virus titre (T FMDV) in raw materials used for vaccine production with real time reverse transcription polymerase chain reaction (RT-PCRrt) based on determined amplifcation threshold cycle value (Ct) using linear regression model, TFMDV= –0.2956Ct+ 11.4650, is described in the paper. …”
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The association between gestational selective serotonin reuptake inhibitor (SSRI) treatment and newborn thyroid screen: a large-scale cohort study by Orian Raviv, Yael Lebenthal, Michal Yackobovitch-Gavan, Eyal Cohen-Sela, Shlomo Almashanu, Ronella Marom, Jacky Herzlich, Liran Hiersch, Avivit Brener

“…Multivariable forward linear regression model was applied to evaluate explanatory variables for newborn total thyroxine (TT4) levels. …”
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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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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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