Showing 841 - 860 results of 1,624 for search 'Linear regression model*', query time: 0.14s Refine Results
  1. 841

    Cyberbullying victimization and its influence on Physical Education outcomes among school students by Balnur Balabekovna Kenjayeva, Rustam Bakhtyeruly Abdrakhmanov

    Published 2025-08-01
    “…Methodology: a quantitative, cross-sectional design was employed using a structured questionnaire administered to 150 secondary school students. statistical analyses included linear regression, pearson’s correlation, mediation, and moderation models. …”
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    Article
  2. 842

    Analysis of the Effect of Clarity, Efficiency, Accuracy, Stimulation, and Novelty on the Attraction of Using PayLater Services by Mutiara Cahyani, Siti Jamilah

    Published 2025-08-01
    “…The results of the validity test show that all indicators have an outer loading value > 0.7, while the composite reliability and AVE values ​​indicate the consistency and validity of the construct. The goodness-of-fit model test produces an SRMR value of 0.051 (<0.08), indicating that the model is appropriate. …”
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    Article
  3. 843

    RF-RFE-SMOTE: A DoS And DDoS Attack Detection Framework by Nora Rashid Najam, Razan Abdulhammed Abduljawad

    Published 2023-10-01
    “…Framework empirical findings reveal that the RF-RFE_SMOTE_RF outperformed all other models by obtaining an accuracy of 100% for CSE-CIC-IDS2018 and 0.99% for CIC-DDoS2019. …”
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  4. 844

    The Adjustment of Peak Ground Acceleration Value Based on Modification of Attenuation Constant with Accelerograph Data from 2020-2023 in Bali Region by Mayumi Cahyandari, Winardi Tjahyo Baskoro, I Putu Dedy Pratama, I Made Yuliara, Hery Suyanto, I Gde Antha Kasmawan

    Published 2024-08-01
    “…This model is also compared with the attenuation model from Donovan, Setiawan, and Lin and Wu, with the results showing that the developed model has a very strong correlation of 0.782 between the PGA from observations and the PGA from the model which is included in the very strong category. …”
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  5. 845

    Company Growth Factors, Workforce Size and Bribery Expenses (Perspective of Performance and Development of Companies) by S. Ashoori, A. Rezaei, S. Mahdavi

    Published 2025-04-01
    “…Our analysis covers 10 Iranian companies over eight financial years, from 2015 to 2022. We used a multiple linear regression model with mixed data to analyze the data. …”
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  6. 846

    Prediction of Daily Entrance and Exit Passenger Flow of Rail Transit Stations by Deep Learning Method by Huaizhong Zhu, Xiaoguang Yang, Yizhe Wang

    Published 2018-01-01
    “…Finally, the proposed model is compared with the linear regression model.…”
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  7. 847

    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

    Published 2023-06-01
    “…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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    Article
  8. 848

    Steiner eccentricity: Predictions and applications by Xingfu Li, Zongbo Yang, Siyi Lin, Jialu Wang

    Published 2025-09-01
    “…The model is trained and tested across a set of synthetic graphs. …”
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    Article
  9. 849

    Productive aging patterns and associations with health outcomes among Chinese urban older adults by Zexi Su

    Published 2025-07-01
    “…Then, explore associations between the patterns and health using linear regression models and an automatic Bolck, Croon, and Hagenaars (BCH) approach. …”
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  10. 850

    Are the separate financial accounts also relevant? Assessing those accounts reported by listed European entities by Maria Carolina Ribeiro, Fábio Albuquerque, Paula Gomes Dos Santos

    Published 2024-06-01
    “…It uses documental analysis as a technique and archival research as a method, with entities from the major indices of EU countries as a research sample. Linear regression models are used for data analysis. …”
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    Article
  11. 851

    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

    Published 2023-12-01
    “…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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    Article
  12. 852

    Customer Loyalty and Firm Performance: An In-depth Analysis of the Edible Oils Manufacturing Firms. by Mwazuna, Alice Ngele, Tibbs, Charles Yugi, Museve, Elijah, Asiimwe, Judith Bijurenda

    Published 2024
    “…The study adopted a causal research design and was underpinned by the customer loyalty business model. The target population was 535,840 which included 104 employees from the marketing departments of the three firms and 535,736 households from the middle-class estates in Nairobi the Yamane 1967 formula was used to get a sample size of 504 respondents and data was collected using a structured questionnaire and document analysis guide. …”
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  13. 853

    Joint association of sleep quality and physical activity with hypertension: a cross-sectional population study in agricultural workers by Yu-Fei Chen, Yu-Fei Chen, Qian Zhao, Xieyire Hamulati, Liting Cai, Xinyu Qiu, Jiamule Maimaitiyiming, Fen Liu, Fen Liu, Xiao-Mei Li, Yi-Ning Yang

    Published 2025-08-01
    “…Restricted cubic spline (RCS) analysis and multivariate logistic regression models were used to evaluate the associations between sleep quality, PA levels, and the prevalence of hypertension.ResultsIn this study of 2,872 participants, the median age was 49 (42–57) years. …”
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  14. 854

    Entrepreneurial Orientation Impact on Entrepreneurial Behavior in the Service Industry by Fayeq Ali Ali

    Published 2024-06-01
    “…The current study used multiple linear regression as a statistical tool to measure the formulated research model based on the six hypotheses to test the relationship and impact of autonomy, innovativeness, proactiveness, risk-taking, competitive aggressiveness, and Entrepreneurial orientation on entrepreneurial behavior. …”
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  15. 855

    Determinants of Missed Nursing Care for Cardiac Patients in Iran: A Mixed-method Study by Fatemeh Amrolahi-Mishavan, Abdolhossein Emami-Sigaroudi, Fatemeh Jafaraghaee, Hooman Shahsavari, Saman Maroufizadeh, Mohammad Babaeipour-Divshali

    Published 2025-01-01
    “…Objective: This study aims to develop a model for the determinants of missed nursing care in the CCUs of hospitals in Iran. …”
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  16. 856
  17. 857

    Association between serial changes in serum C-reactive protein levels and mortality among patients with pleural empyema: a database research by Akihiro Shiroshita, Masafumi Takeshita, Teruaki Nishiuma, Tomoaki Ota, Yuki Kataoka

    Published 2025-07-01
    “…A joint regression model combines longitudinal data analysis for exposure with survival analysis for the outcome. …”
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    Article
  18. 858

    Associations of Combined Exposure to Metabolic and Inflammatory Indicators with Thyroid Nodules in Adults: A Nested Case-Control Study by Xin-Yi Zhu, Xing-Chen Meng, Bei-Jing Cheng, Chun Wang, Jia Wang, Tian-Lin Li, Hui Li, Ke Meng, Ran Liu

    Published 2024-01-01
    “…Results. In the adjusted models, five indicators (ORQ4 vs. Q1: 1.30, 95% CI: 1.07–1.58 for fasting blood glucose; ORQ4 vs. …”
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  19. 859

    Deep learning for property prediction of natural fiber polymer composites by Ivan P. Malashin, Dmitry Martysyuk, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Vadim Tynchenko

    Published 2025-07-01
    “…Using 180 experimental samples, augmented up to 1500 using bootstrap technique, several regression modelslinear, random forest, gradient boosting, DNNs–were developed to predict mechanical behavior. …”
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    Article
  20. 860

    Association between C-reactive protein–albumin–lymphocyte (CALLY) index with intravenous immunoglobulin non-response in Kawasaki disease by Yan Duan, Ting Wang, Peng Jia, Linfan Deng, Zixia Song, Bin Liu, Jun Jiang, Dong Liu, Gang Li

    Published 2025-12-01
    “…Restricted cubic spline (RCS) regression models were utilized to explore potential nonlinear relationships. …”
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