The Regressinator: A Simulation Tool for Teaching Regression Assumptions and Diagnostics in R by Alex Reinhart

“…Example activities covering model diagnostics, statistical power, and model selection are shown for both advanced undergraduate and Ph.D.…”
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MODELING HOUSE SELLING PRICES IN JAKARTA AND SOUTH TANGERANG USING MACHINE LEARNING PREDICTION ANALYSIS by Sugha Faiz Al Maula, Nicoletta Almira Dyah Setiawan, Elly Pusporani, Sa'idah Zahrotul Jannah

“…This study aims to analyze housing prices in various Jakarta regions using machine learning models, including Multiple Linear Regression (MLR), Support Vector Regression (SVR), Light Gradient Boosting Machine (LGBM), and Random Forest. …”
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Characterization of engineering properties and modeling mass and fruit fraction of wood apple (Limonia acidissima) fruit for post-harvest processing by Sahithi Murakonda, Gopesh Patel, Madhuresh Dwivedi

“…The quadratic model is resulted to be most suitable regression model having a greater R2 value to establish correlation. …”
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Unveiling the Riddoch phenomenon: a regression analysis of stroke-induced homonymous hemianopia by Oranan Tritanon, Suphakarn Kimavaha, Sukanya Siriyotha, Gordon T. Plant, Panitha Jindahra

“…Univariate and multiple linear regression models were applied to evaluate predictors of RMP-VFI.ResultsMean RMP-VFI scores were significantly higher in patients with spared V5 compared to those with lesioned V5 (24.1 vs. 1.8, p = 0.033), while no significant differences were observed for other regions. …”
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OCAFI: observation centric appearance free interpolation technique for multi-object tracking by Shavantrevva Bilakeri, Karunakar A. Kotegar

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Mitigating retail rice price volatility for sustainable supply chains: an optimization and regression-based approach [version 2; peer review: 2 approved] by Arif Shafwan Rasyid, Lucia Diawati

“…This study proposes an optimization model to determine the optimal rice import volume to minimize bi-monthly retail price fluctuations. …”
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The Influence of Sustainability Reporting on the Profitability of Listed Companies in the European Union by Alexandra Ștefan, Ileana Cosmina Pitulice, Georgiana Oana Stănilă, Aurelia Ștefănescu

“…The statistical analysis, using multiple linear regression models applied to the panel data, led to the achievement of the research objective. …”
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Academic and Non-Academic Profile Affecting the Nurse Licensure Examination Performance of the Nursing Graduates of a Higher Education Institution in Davao City by Romeo Pulgarinas Jr.

“…On the other hand, only the OLSAT in the non-academic profile showed a significant correlation to the licensure examination performance. Finally, the regression model obtained in the study is written as NLEP = 18.139 + 0.413 (NCM) + 0.018 (NAT) – 0.195 (EngProf) + 0.399 (NEP).…”
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Prediction of ultimate load capacity of demountable shear stud connectors using machine learning techniques by Ahmed I. Saleh, Nabil S. Mahmoud, Fikry A. Salem, Mohamed Ghannam

“…Model performance was assessed using R², Mean Absolute Error (MAE), and Mean Squared Error (MSE). …”
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Leveraging mixed-effects regression trees for the analysis of high-dimensional longitudinal data to identify the low and high-risk subgroups: simulation study with application to g... by Mina Jahangiri, Anoshirvan Kazemnejad, Keith S. Goldfeld, Maryam S. Daneshpour, Mehdi Momen, Shayan Mostafaei, Davood Khalili, Mahdi Akbarzadeh

“…Abstract Background The linear mixed-effects model (LME) is a conventional parametric method mainly used for analyzing longitudinal and clustered data in genetic studies. …”
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The Impact of Green Taxation on Sustainable Economic Development in the European Union by Valentin Marian Antohi, Costinela Fortea, Monica Laura Zlati, Marius Sorin Dinca

“…In the context of accelerating the European Union’s transition towards a sustainable economic model, green taxation plays a central role in strategies to reduce carbon emissions and stimulate responsible economic behaviour. …”
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Simulation Study and Development of Semiparametric Multiresponse Multigroup Truncated Spline Regression for Rice Pest Control by Laila Nur Azizah, Adji Achmad Rinaldo Fernandes, Ni Wayan Surya Wardhani

“…This model is applied to secondary and simulated data with various scenarios to determine the best model. …”
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Adjustment terms and coefficients of nonlinear regression-based kurtosis-adjusted equivalent sound level method by Jinzhe LI, Anke ZENG, Jiarui XIN, Yang LI, Linjie WU, Haiying LIU, Yan YE, Meibian ZHANG

“…The model \begin{document}$ {{{L'}}_{\text{EX,}\text{8}\text{ h}\text{,6}}=L}_{\mathrm{E}\mathrm{X},8\;\mathrm{h}}+7.9\mathrm{lg}({{\beta }_{N}}/{10}) $\end{document} achieved the most significant improvement, reducing underestimation by 8.7 dB HL. …”
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Non-destructive method for estimating chrysanthemum leaf area by Toshik I. da Silva, João E. da S. Ribeiro, Marlon G. Dias, Renata R. P. Cruz, Larissa F. Macêdo, Jackson S. Nóbrega, Giuliana N. B. Sales, Erli P. dos Santos, Franciscleudo B. da Costa, José A. S. Grossi

“…The objective of this study was to find allometric equations to estimate the leaf area of chrysanthemum. The linear, linear without intercept, quadratic, cubic, power, and exponential regression models were used for the analysis. …”
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Dalgacık Dönüşüm Tekniği ve Uyarlamalı Ağ Tabanlı Bulanık Çıkarım Sistemi ile Eğirdir Gölü Buharlaşma Tahmini by Tahsin Baykal, Özlem Terzi

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The Estimation of the Remaining Useful Life of Ceramic Plates Used in Iron Ore Filtration Through a Reliability Model and Machine Learning Methods Applied to Industrial Process Var... by Robert Bento Florentino, Luiz Gustavo Lourenço Moura

“…The linear regression model for reliability prediction had an R² of 78.32%, whereas the random forest regression model had an R² of 63.7%. …”
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Indonesian Economy Under the Shadow of Catastrophic Natural Disasters: Empirical Evidences from Additive Mixed Model With P-Spline Smooth Function by Taly Purwa, Wahyu Wibowo, Elya Nabila Abdul Bahri

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Mathematical modeling of technological parameters of laser powder surfacing based on approximation of the deposition track profile by Mikhail E. Soloviev, Denis V. Malyshev, Sergey L. Baldaev, Lev Kh. Baldaev

“…Optimal values of the technological parameters of surfacing were obtained using regression models of these mappings to provide the maximum value of the area of the surfacing contour under restrictions on the proportion of the sub-melting area to the total cross-sectional area. …”
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Deep neural networks excel in COVID-19 disease severity prediction—a meta-regression analysis by Márton Rakovics, Fanni Adél Meznerics, Péter Fehérvári, Tamás Kói, Dezső Csupor, András Bánvölgyi, Gabriella Anna Rapszky, Marie Anne Engh, Péter Hegyi, Andrea Harnos

“…We identified both the relevant confounding factors of tool performance using the MetaForest algorithm and the best tools—comparing linear, machine learning, and deep learning methods—with mixed-effects meta-regression models. …”
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Integrating experimental and theoretical approaches for enhanced machine learning modeling of solar radiation by Nader Ghareeb, Abeer Alanazi, Ahmad Sedaghat, Mohamad Hussein Farhat, Arash Mehdizadeh, Hayder Salem, Mohammad Nazififard, Ali Mostafaeipour

“…In total, 28 ML models were evaluated, encompassing linear regression, support vector machines, Gaussian process regression, and neural networks. …”
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