A Case Study of Impact of Aquatic Plants on Pond Water Quality by PENG Ailing, GU Zhun, HUANG Jinbai, ZHANG Qin, NI Tao, TAO Siji

“…Aquatic plants play an important role in regulating the water quality of ponds.To reveal the effects of the aquatic plants on pond water quality,taking a specified pond,which is located inside the Jiangyanglu South Campus of Yangzhou University,as the study area,this paper observes the water quality parameters such as phycobilin chromophore (Phyco),water temperature (WT),dissolved oxygen (DO),pH and electrical conductivity (EC) of pond areas with aquatic plants or without aquatic plants,analyzes the temporal variation characteristics of each water quality parameter by the methods of coefficient of variation,single factor water quality identification index and multiple linear regression model,and evaluates the effects of the aquatic plants on water quality.The results indicate that:①WT,DO of the aquatic plant area are lower than those of the non-aquatic plant area during the research period;②The water is alkaline,and the pH of the non-aquatic plant areas is generally higher than that of aquatic plan area;③The fluctuation degree of each parameter in the non-aquatic plant area is larger than that of the aquatic plant area in the same period,and the variation weight of water quality parameters in the two areas from high to low is DO>WT>EC>pH;④The time for water quality in the non-aquatic plant area reaching Class Ⅲ accounts for 67.7% of the research period,and the water quality of the non-aquatic plant area is better than that of the aquatic plant area;⑤During the study period,the impact of WT on DO in the non-aquatic plant area and the aquatic plant area was inconsistent,while the impact of Phyco and pH on DO is more significant than that of WT.…”
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Relationship between oxidative stress biomarkers and micronuclei scoring as a biomarker for DNA damage in Egyptian nicotine-dependent smokers: A cross-sectional study by Asmaa Mahmoud Mohammed, Dalia Farouk, Adel F. Hashish

“…Moreover, the smokers showed significantly higher mean values of binucleated micronuclei score (P<0.05) than the nonsmokers. The linear regression model predicted that each increase in the serum malondialdehyde by 1 nmol/ml could increase the BMNi score by 2.7. …”
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The relationship between sexual function and sexual dysfunction beliefs after postpartum in primiparous women by Elahe Amirkhalili, Mansoureh jamshidimanesh

“…A stepwise multiple linear regression model was used to assess the relationship between sexual functioning variables and dysfunctional sexual beliefs. …”
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Clinical Competence of Nurses and the Associated Factors in Public Hospitals of Gamo Zone, Southern Ethiopia: A Cross-Sectional Study by Shitaye Shibiru, Zeleke Aschalew, Mekidim Kassa, Agegnehu Bante, Abera Mersha

“…The data were entered into EpiData version 3.1 and exported to Stata version 15 for analysis. A linear regression model was used to identify factors associated with clinical competence. …”
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Comparison of the Visibility Grading Forecast Method Based on Meteorological Factors and Environmental Factors by Yanyan Long, Fei Li, Wenjun Sang

“…The results showed that (1) in addition to having a significant positive correlation with wind speed, the visibility in winter at the Mianyang Airport has a significant negative correlation with relative humidity, dew point temperature, AQI, PM2.5 concentration, PM10 concentration, and CO, and it has the strongest correlation with relative humidity, and the correlation coefficient is −0.76. (2) The multivariate linear regression model and the KNN model were adopted for grading forecasting experiments on visibility, and the results revealed that both models could be used for visibility grading forecasts. …”
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Financial factors influencing investment willingness in environment-friendly business: Empirical study on an emerging economy by Fairtown Zhou Ayoungman, Md. Shoriful Islam, Mohammad Masukujjaman, Abid Hossain Shawon, Abdullah Al Mahmud

“…Principal component analysis was used to identify financial influences, and a linear regression model was used to build relationships using SPSS. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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.…”
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Correlates of COVID-19 conspiracy theory beliefs in Japan: A cross-sectional study of 28,175 residents. by Yukihiro Sato, Ichiro Kawachi, Yasuaki Saijo, Eiji Yoshioka, Ken Osaka, Takahiro Tabuchi

“…<h4>Results</h4>After applying sampling weights and imputation, the estimated prevalence of holding at least one COVID-19 conspiracy belief was 24.4%. From a linear regression model, several factors were independently associated with conspiracy beliefs. …”
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A paradigmatic approach to the topological measure of babesiosis drugs and estimating physical properties via QSPR analysis by Nadeem Ul Hassan Awan, Muhammad Usman Ghani, Sakeena Bibi, Syed Ajaz K. Kirmani, Manal Elzain Mohamed Abdalla

“…The usefulness of applying TIs in this situation is demonstrated by the linear regression model's minimum error and correct prediction of these attributes.…”
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Abiotic factors: Its relationship on the yield of mango ( L.) with science and Mangifera indica technology interventions by Normina A. Mamalinta, Junito P. Marcelino

“…The study used the simple linear regression model Y=BX + a to determine the extent to which there was a linear. relationship between a dependent variable and one or more independent variables. …”
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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.). …”
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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. …”
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