Using multiple linear regression to predict engine oil life [PDF]
Scientific ReportsThis paper deals with the use of multiple linear regression to predict the viscosity of engine oil at 100 °C based on the analysis of selected parameters obtained by Fourier transform infrared spectroscopy (FTIR).
Van Thai Nguyen +2 more
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Phase Unwrapping Error Correction Based on Multiple Linear Regression Analysis [PDF]
Sensors, 2023 Fringe projection profilometry (FPP) is prone to phase unwrapping error (PUE) due to phase noise and measurement conditions. Most of the existing PUE-correction methods detect and correct PUE on a pixel-by-pixel or partitioned block basis and do not make
Zhuang Lv +8 more
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Building a Multiple Linear Regression Model With LEGO Brick Data
Journal of Statistics and Data Science Education, 2021 We present an innovative activity that uses data about LEGO sets to help students self-discover multiple linear regressions. Students are guided to predict the price of a LEGO set posted on Amazon.com (Amazon price) using LEGO characteristics such as the
Anna D. Peterson, Laura Ziegler
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Rapid Estimation of Battery Storage Capacity through Multiple Linear Regression
Batteries, 2023 Due to global warming issues, the rapid growth of electric vehicle sales is fully expected to result in a dramatic increase in returned batteries after the first use.
Chulwon Jung, Woongchul Choi
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An Application of Fuzzy Multiple Linear Regression in Biological Paradigm
Complexity, 2022 The regression model is generally utilized in several fields of study because of its applications. Regression is an extremely incredible approach; it builds up a connection between dependent and independent variables.
Saima Mustafa +6 more
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Financial Data Quality Evaluation Method Based on Multiple Linear Regression
Future Internet, 2023 With the rapid growth of customer data in financial institutions, such as trusts, issues of data quality have become increasingly prominent. The main challenge lies in constructing an effective evaluation method that ensures accurate and efficient ...
Meng Li, Jiqiang Liu, Yeping Yang
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Varying-coefficient functional linear regression [PDF]
, 2010 Functional linear regression analysis aims to model regression relations which include a functional predictor. The analog of the regression parameter vector or matrix in conventional multivariate or multiple-response linear regression models is a ...
Fan, Jianqing +2 more
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Spatial prediction of soil properties in two contrasting physiographic regions in Brazil
Scientia Agricola, 2016 This study compared the performance of ordinary kriging (OK) and regression kriging (RK) to predict soil physical-chemical properties in topsoil (0-15 cm).
Michele Duarte de Menezes +4 more
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Pedotransfer functions for estimating the van Genuchten model parameters in the Cerrado biome [PDF]
Revista Brasileira de Engenharia Agrícola e Ambiental, 2022 The Cerrado biome has presented challenges in reconciling its agricultural expansion with water availability. In this sense, water resources planning and management are fundamental for the economic, social, and environmental development of the Cerrado ...
Mariana F. Veloso +4 more
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Quantum Circuit Design Methodology for Multiple Linear Regression
, 2020 Multiple linear regression assumes an imperative role in supervised machine learning. In 2009, Harrow et al. [Phys. Rev. Lett. 103, 150502 (2009)] showed that their HHL algorithm can be used to sample the solution of a linear system $\mathbf{Ax=b ...
Behera, Bikash K. +5 more
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