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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A study of partial F tests for multiple linear regression models [PDF]
, 2007 Partial F tests play a central role in model selections in multiple linear regression models. This paper studies the partial F tests from the view point of simultaneous confidence bands.
Jamshidian, M. +4 more
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Phase Unwrapping Error Correction Based on Multiple Linear Regression Analysis
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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Combining Variable Selection and Multiple Linear Regression for Soil Organic Matter and Total [PDF]
, 2022 The successful estimation of soil organic matter (SOM) and soil total nitrogen (TN) contents with mid-infrared (MIR) reflectance spectroscopy depends on selecting appropriate variable selection techniques and multivariate methods for regression analysis.
Tongqing Liu +11 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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ANALISIS PENETAPAN NILAI GANTI KERUGIAN PROPERTI KORBAN LUAPAN LUMPUR LAPINDO
JEJAK: Jurnal Ekonomi dan Kebijakan, 2015 This research studies the fairness of the agreed compensation property nominal value for the victims of the Sidoarjo mudflow. This research was performed by comparing the agreed nominal amount of compensation with the estimated values based on the ...
B Irawan, A Paranata
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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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