Socioeconomic Determinants of Agricultural Extension Needs among Yam Farmers in Nasarawa State, Nigeria by Danlami Haruna Yakubu, Gumugumu Godknows Brakiebou Douseifa, Ango Adamu Kamba, Jazuli Alhassan

“…Data were obtained with the aid of a questionnaire and analyzed using percentages and Multiple Linear Regression Model. Findings of the study revealed that the major extension needs of the farmers included information on time of planting (90.17%), spacing of tubers (98.64%), pests and diseases control (94.58%), how to source for credit (96.95%) and method of weed control (95.25%). …”
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Comparison of the Response to Pulpal Sensibility Tests in Well-Controlled and Uncontrolled Type II Diabetes Mellitus Patients: A Cross-Sectional Study by Fatemeh Owlia, Faezeh Zarezadeh, Sara Jambarsang, Maryam Kazemipoor

“…Statistical analysis was performed with Student’s t-test, the chi-square test, and the multiple linear regression model. A P value less than 0.05 was considered significant. …”
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Radiographic Evaluation of the Lower First Permanent Molars of Children from Southeastern Brazil by Luciana Arruda Mendes de Paula, Francielle Silvestre Verner, Maria Augusta Visconti, Rafael Binato Junqueira

“…The right and left sides were compared using the McNemar's test. 51.1% of the sample were male, and 48.9% were female (mean of 9.2 years; SD = 1.9). 6.4% of the teeth had carious lesions, 7.3% had restorative material, and 0.3% were absent. The mixed linear regression model showed that age advance was proportional to the increase in the number of missing teeth (p=0.012), decayed, restored, and periapical lesions (p<0.001). …”
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Weight Fluctuation and Postmenopausal Breast Cancer in the National Health and Nutrition Examination Survey I Epidemiologic Follow-Up Study by Marina Komaroff

“…Weight fluctuation was measured by the root-mean-square-error (RMSE) from a simple linear regression model for each woman with their body mass index (BMI) regressed on age (started at 25 years) while women with the positive slope from this regression were defined as weight gainers. …”
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Empirical Research on the Relationship between Industry Working Capital Shortfall and Company Cash Holding in the Same Industry by Zhaohua Li, Junyi Jiang, Lijuan Xia, Chien-Chi Chu

“…Taking the panel data of A-share listed companies in Shanghai and Shenzhen as samples, this paper uses the Classical Linear Regression Model and Fixed Effects Regression Model to study the relationship between industry working capital shortfall and cash holdings in the same industry, as well as the relationship between industry working capital shortfall and cash holding value. …”
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Digital Technologies and Financial Performance in Local Government in Uganda: A Case Study of Kabale District. by Mugume, Herbert

“…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 integrated financial management systems (R=862), programme-based budgeting system and integrated personnel (R=756 and integrated personnel and payroll system (R=829) have a positive significance on the financial performance at Kabale District local government. …”
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Financial Accountability and Service Delivery In Kabale District Uganda. by Biryomumisho, Fadison, Turyasingura, John Bosco, Agaba, Moses, Kabagambe, Jess Davi

“…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 of Kabale District local government. …”
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Procurement Procedures and Contract Management in Local Governments in Uganda: Case Study-Kabale District Local Government. by Matende, Jamada

“…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 procurement standards (R=862), procurement advertising (R=656 and bid evaluation (R=899) have a positive significance on the contract management at Kabale District local government. …”
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Use of artificial intelligence to study the hospitalization of women undergoing caesarean section by Arianna Scala, Giuseppe Bifulco, Anna Borrelli, Rosanna Egidio, Maria Triassi, Giovanni Improta

“…Results A multiple linear regression model determined the highest R-value (0.815), indicating a strong correlation between the identified variables and LOS. …”
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Investigation of the Natural Frequency Change of the Suspension Bridge Under Operating Conditions by Yazhou Qin, Yansong Cui

“…The multiple linear regression model is established between the natural frequency change, the vibration intensity, and the effective wind speed. …”
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Data-Driven Method for Predicting Soil Pressure of Foot Blades within a Large Underwater Caisson by Can Huang, Hao Zhu, Kunyao Li, Jianxin Zheng, Hao Li, Jiaming Li, Yao Xiao

“…The improved CART model, multilayer perceptron (MLP), long short-term memory (LSTM), and a linear regression model are compared through a comprehensive multiparameter evaluation method. …”
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Driving Fatigue Prediction Model considering Schedule and Circadian Rhythm by Qi Zhang, Chaozhong Wu, Hui Zhang

“…In addition, a linear regression model was proposed to represent the relationship between accumulated fatigue level and the four time-related variables. …”
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Predicting Flash Point of Organosilicon Compounds Using Quantitative Structure Activity Relationship Approach by Chen-Peng Chen, Chan-Cheng Chen, Hsu-Fang Chen

“…The proposed model was a linear regression model consisting of six descriptors. This 6-descriptor model gave an R2 value of 0.9174, QLOO2 value of 0.9106, and Q2 value of 0.8989. …”
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Multi-sequence magnetic resonance imaging radiomics combined with imaging features predicts the difficulty of HIFU treatment of uterine fibroids by Li Shen, Xiao Huang, Yuyao Liu, Shanwei Bai, Fang Wang, Quan Yang

“…Abstract To establish a multivariate linear regression model for predicting the difficulty of high-intensity focused ultrasound (HIFU) ablation of uterine fibroids based on multi-sequence magnetic resonance imaging radiomics features. …”
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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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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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