Identification of Leverage Points in Principal Component Regression and r-k Class Estimators with AR(1) Error Structure by Tuğba Söküt

“…The determination of leverage observations have been frequently investigated through ordinary least squares and some biased estimators proposed under the multicollinearity problem in the linear regression models. Recently, the identification of leverage and influential observations have been also popular on the general linear regression models with correlated error structure. …”
Get full text

SYSTEMATIC RISK ASSESMENT USING OLS METHOD - THE CASE OF THE CAPITAL MARKET OF BOSNIA AND HERZEGOVINA by Azra Zaimović

“…A special aim of the paper is to explore whether estimated models satisfy the presumptions of the linear regression model, which is being examined using a series of diagnostic tests. …”
Get full text

Lending appraisal and performance of SACCOS in Rukiga district, Uganda by Moses, Agaba, John Bosco, turyasingura, Jesse David, Kabagambe

“…The dependent variable was regressed against using the updated predictor variables for loan approval at the multivariate level (performance of SACCOs). A linear regression model was used to fit the data. According to study findings from the regression model, loan appraisal (coef. = -0. 635, p-value=0.000) have a positive influence on the performance of SACCO in District. …”
Get full text

Internal Control Practices and Performance of Saving and Credit Scheme Organizations in Uganda: A Case Of Rukiga Sacco Ltd. by Kiconco, Patience

“…To fit the data, a linear regression model was employed. Segregation of duties (R=762), independent checks (R=676), and risk management (R=899) have a positive importance on the performance of Rukiga SACCO in Rukiga District, according to research findings from the regression model. …”
Get full text

Public Procurement Practices and End User Satisfaction in Rubanda District Local Government. by Niwagaba, Bob

“…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 in procurement(R=.463**, P<0.001), competition in procurement ((R=.219, P<0.001), and non-discrimination (R=.493**, P<0.001) have a positive significance on the service delivery in Rubanda district local government. …”
Get full text

Internal Control Systems and Financial Performance of Local Governments in Uganda: A Case of Kabale District Local Government. by Atuheire, Godwin

“…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 risk assessment (R=662), control environment (R=656 and monitoring control (R=729) had a positive significance on the financial performance of Kabale District Local Government. …”
Get full text

Effect of Corporate Governance on Performance of SACCOs in Rubanda District South Western Uganda by Turyasingura, John Bosco, Moses, Agaba

“…To fit the data, a linear regression model was employed. Corporate governance (coef. = 0. 532) has a positive influence on the performance of SACCO in Rukiga District, according to research results from the regression model. …”
Get full text

A 903-year annual temperature reconstruction for the southeastern Tibetan Plateau from the tree ring widths of Juniperus saltuaria by Shanshan Xu, Chaogang Zheng, Zhiyuan Shang, Zhigang Zhang, Xinggong Kong, Iain Robertson, Zhijun Zhao

“…The tree ring widths correlate significantly with mean annual temperature (Tmean). A linear regression model between ring width and Tmean, accounting for 57% of the variance in temperature from 1959 to 2017 CE, was used to reconstruct the past 903 years of Tmean variation in the southeastern TP. …”
Get full text

Enhanced Human Skeleton Tracking for Improved Joint Position and Depth Accuracy in Rehabilitation Exercises by Vytautas Abromavičius, Ervinas Gisleris, Kristina Daunoravičienė, Jurgita Žižienė, Artūras Serackis, Rytis Maskeliūnas

“…By using a dual-camera setup and fusing the predicted human skeletal models, it is possible to construct a complete human model even when one camera does not capture all body parts and to refine depth coordinates through error correction using a linear regression model.…”
Get full text

Urban-Rural Disparity of Generics Prescription in Taiwan: The Example of Dihydropyridine Derivatives by Chia-Chen Hsu, Chia-Lin Chou, Shu-Chiung Chiang, Tzeng-Ji Chen, Li-Fang Chou, Yueh-Ching Chou

“…After adjusting the related factors in the linear regression model, generic prescribing ratios of suburban and rural clinics were significantly higher than those of urban clinics (β=0.043 and 0.077; P=0.024 and 0.008, resp.). …”
Get full text

Household Salt consumption and urinary iodine levels in Schoolchildren aged 8–10 in Darab City, Iran: 2022 by Sakineh Hooshmand, Fatemeh Yousefian, Habibollah Rahimi, Mahdiyeh Mohammadzadeh, Rouhullah Dehghani

“…To explore the relationship between independent variables and dependent variable, urinary iodine (UI) levels, linear regression model was applied. A significance level of 0.05 was adopted for all analyses. …”
Get full text

Cardiovascular disease essential medicines listing by countries: changes over time and association with health outcomes by Camila Heredia, Moizza Zia Ul Haq, Adelaide Buadu, Amal Rizvi, Aine Workentin, Navindra Persaud

“…Methods In this cross-sectional study, national essential medicines’ lists from 158 countries were analysed on whether or not they included medicines to treat ischemic heart disease, cerebrovascular disease, and hypertensive heart disease. A linear regression model was used to evaluate the association between countries’ coverage scores and amenable mortality. …”
Get full text

Demineralization Depth Using QLF and a Novel Image Processing Software by Jun Wu, Zachary R. Donly, Kevin J. Donly, Steven Hackmyer

“…The statistical linear regression method was applied to analyze these data. The linear regression model was Y=0.32X+0.17, where X was the percent loss of fluorescence and Y was the depth of demineralization. …”
Get full text

An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel by Mengyang Li, Liu Chen

“…The model uses an integration approach, Light Gradient Boosting Machine, Random Forest and Back Propagation Neural Network models are used as the first-level base models to learn the data, and the Linear Regression model as a meta-model integrates the output of the base model to obtain the final prediction results. …”
Get full text

WORKLOAD DYNAMICS OF MEDICAL PROFESSIONALS IN BULGARIAN HEALTHCARE SYSTEM: EVIDENCES FROM AGGREGATE DATA by Nikolay Atanasov, Krikor Indjian

“…Workload estimates are derived from a linear regression model of hospital output as the dependent variable with the number of doctors and nurses in the health system as factors. …”
Get full text

Association of dietary intake with cancer of the digestive system: a cross-sectional study by Xinxin Qin, Litao Ge, Song Wu, Wei Li

“…Descriptive analysis was used to explore the demographic characteristics of the participants and p-values were calculated using a weighted linear regression model. Categorical variables were described as percentages, and p-values were calculated using weighted chi-square tests.ResultsWe found that protein, vitamin B1, calcium, and iron intake were positively associated with colorectal cancer; vitamin B2 and phosphorus intake were negatively related to colorectal cancer; dietary folate and vitamin B12 intake were negatively associated with gastric cancer; vitamin D and copper intake were positively associated with gastric cancer; vitamin E intake was negatively related to the development of hepatocellular carcinoma; and lycopene, vitamin B2, calcium, iron, and zinc intake was positively associated with the development of liver cancer. …”
Get full text

New frequency stability assessment based on contribution rates of wind power plants by SungHoon Lim, KangWon Seo, Jung-Wook Park, Kwang Y. Lee

“…The proposed index is then calculated using a multiple linear regression model that incorporates these factors. Therefore, this index provides a comprehensive evaluation of SGs and WPPs in terms of their contribution to frequency stability, offering valuable insights into their roles in supporting three key frequency stability indicators, the rate of change of frequency, frequency nadir, and settling frequency. …”
Get full text

Association between Urinary N-Acetyl-Beta-D-Glucosaminidase and Microalbuminuria in Diabetic Black Africans by Francis Patrick Udomah, Udeme Ekpenyong Ekrikpo, Emmanuel Effa, Babatunde Salako, Ayodeji Arije, Solomon Kadiri

“…A multivariate linear regression model showed a significant linear relationship between NAG/creatinine ratio and albumin/creatinine ratio after adjusting for the effect of blood pressure, age, sex, and serum creatinine. …”
Get full text

Value Chain Analysis of Highland Bamboo (Yushania alpina) in Banja District, Awi Zone, Ethiopia by Mulat Mengstu, Asmamaw Alemu, Chernet Worku, Sosina Bezie

“…The result of multiple linear regression model indicated that the land size allocated for bamboo plantation, number of culm harvested, access of market information, and silviculture management practice positively affected the market supply of bamboo culm, whereas distance to the market affected the market supply of bamboo culm negatively and significantly. …”
Get full text

Effects of Highway Landscapes on Drivers’ Eye Movement Behavior and Emergency Reaction Time: A Driving Simulator Study by Fengxiang Guo, Mingyuan Li, Yao Chen, Jian Xiong, Jaeyoung Lee

“…The results show that emergency reaction time is significantly influenced by highway landscapes and alignments, and the multiple linear regression model built in this experiment could accurately predict drivers’ emergency reaction time in different highway landscapes and alignments.…”
Get full text