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Radiopaedia.org, 2015 In Chapter 9, we discussed correlation, which is used for quantifying the relation between a pair of variables. We also discussed simple regression, which helps predict the dependent variable when an independent variable is given. In simple regression, you use a single independent variable to predict the dependent variable.
Venkat Reddy Konasani, Shailendra Kadre
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Anemia Modelling Using the Multiple Regression Analysis
International Journal of Analysis and Applications, 2019 The aim of this article is to forecast anemia from a population through biomedical variables of individuals using the multiple linear regression model. The study is conducted in terms of dataset consisting of 539 subjects provided from blood laboratories.
Murat Sari, Arshed A. Ahmad
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Comparison between Multiple Regression Analysis, Polynomial Regression Analysis, and an Artificial Neural Network for Tensile Strength Prediction of BFRP and GFRP. [PDF]
Materials (Basel), 2021 In this study, multiple regression analysis (MRA) and polynomial regression analysis (PRA), which are traditional statistical methods, were applied to analyze factors affecting the tensile strength of basalt and glass fiber-reinforced polymers (FRPs ...
Kim Y, Oh H.
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Multiple linear regression analysis [PDF]
American Journal of Orthodontics and Dentofacial Orthopedics, 2016 N. Pandis
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PeerJ Computer Science, 2021 Regression analysis makes up a large part of supervised machine learning, and consists of the prediction of a continuous independent target from a set of other predictor variables.
D. Chicco, M. Warrens, Giuseppe Jurman
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Journal of Data Science, 2021 The use of multiple regression analysis (MRA) has been on the rise over the last few decades in part due to the realization that analysis of variance (ANOVA) statistics can be advantageously completed using MRA.
Matthew J. Davis
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Methods in Ecology and Evolution, 2021 Canonical analysis, a generalization of multiple regression to multiple‐response variables, is widely used in ecology. Because these models often involve many parameters (one slope per response per predictor), they pose challenges to model interpretation.
Jiangshan Lai +3 more
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Quantifying image distortion based on Gabor filter bank and multiple regression analysis [PDF]
, 2012 Image quality assessment is indispensable for image-based applications. The approaches towards image quality assessment fall into two main categories: subjective and objective methods. Subjective assessment has been widely used.
Castellanos Dominguez, German +5 more
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Altitude and geographic coordinates to estimate monthly rainfall in the state of Mato Grosso do Sul
Bioscience Journal, 2016 Adjustment of multiple linear regression equations has allowed estimating the value of a certain climatological variable according to geographical coordinates with acceptable degree of accuracy.
Paulo Eduardo Teodoro +7 more
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Analysis of decreasing natality trend in the Czech Republic
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2008 The aim of this paper is factors identification of the decreasing natality trend in the Czech Republic between years 1991–2005. This identification is done with respect to the financial situation and living standard of families.The first step, analysis ...
Jitka Poměnková, Lenka Němcová
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