Multiple linear regression model
Indicadores de Desenvolvimento Sustentável: Uma Análise Quantitativa utilizando o modelo de Regressão Linear Múltipla / Sustainable Development Indicators: A Quantitative Analysis Using the Multiple Linear Regression Model
... the multiple linear regression model to demonstrate the behavior of these variables, and it was found that GDP remained high and stable over the time horizon, reflecting inversely to inflation ...
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Artificial neural networks and multiple linear regression model using principal components to estimate rainfall over South America
... neuronal model, calculating the output, and adjust- ing the weights until the desired output is ...easiest-to-learn model for complex, multilay- ered ...
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MULTIPLE LOGISTIC REGRESSION MODEL TO PREDICT RISK FACTORS OF ORAL HEALTH DISEASES
... i.e. regression analysis, multilevel modelling, logistic regression and ordinal regression techniques employed to analyze the dental caries data (DMFT Index) and periodontal disease (CPITN Index) ...
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Rev. bras. ortop. vol.51 número2
... beta regression for the risk variable, since this is a variable of limited inter- val [0,1], simple linear regression was chosen because this had the advantages that the results could be easily ...
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Clinics vol.67 número2
... Gaussian model of ...Simple linear regression tests were used to analyze the relationship between length of hospitaliza- tion, gestational age, birth weight, low serum sodium levels, low serum ...
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Simulation of wheat biomass yield by thermal time, rainfall and nitrogen
... through multiple linear regression (Balbinot Júnior et ...the multiple linear regression model in the simulation of grain ...the multiple model with the ...
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Influência do zinco no desempenho muscular em mulheres jovens e idosas
... In relation to body mass index and fat mass, the present study revealed significant positive correlations (Table 3) only with BMD at the femoral neck and trochanter. When these variables were fit to the multiple ...
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Rev. Nutr. vol.30 número3
... final multiple linear regression model, which is inconsistent with the findings of another study on the prevalence and determinants of anemia in children attending public daycare facilities in ...
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Egg Hatchability Prediction by Multiple Linear Regression and Artificial Neural Networks
... a multiple linear regression statistical method to predict hatchability in an artificial incubation ...ANN model was chosen as it produced data that fit better the experimental data as ...
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Rev. esc. enferm. USP vol.51 X reeusp 51 e03215
... variables. Multiple Linear Regression using the stepwise selection technique and the Generalized Linear Models were used in the statistical ...inal multiple linear ...
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Campina Grande, PB, UAEAUFCG – http:www.agriambi.com.br ISSN 1807-1929 v.21, n.4, p.261-266, 2017
... by multiple linear ...the multiple linear regression model and the simulation of grain yield, under conditions of low, high and very high N ...
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Rev Bras Med Esporte vol.19 número2
... Introduction: Sports performance has currently developed in a fast and concrete way, requiring hence an efficient evolution of different areas of sports sciences, offering scientific support necessary to the continuity ...
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Prediction of Topsoil Texture Through Regression Trees and Multiple Linear Regressions
... According to table 1, all models included at least one input covariate from remote sensing data (Landsat bands or derived indexes) to predict the soil properties of interest. The geology map was selected by all MLR ...
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Relationship Between Color and Tannin Content in Sorghum Grain: Application of Image Analysis and Artifi cial Neural Network
... Multiple linear regression (MLR) and artificial neural network (AAN) models were previously used to describe the correlation between chemical compositions and TMEn value of sorghum grain in poultry ...
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Modeling of RO/NF membrane rejections of PhACs and organic compounds: a statistical analysis
... could model membrane rejection of neutral compounds with multiple linear regression; real rejection results were well represented by dipole moment, molar volume, length, equivalent width and ...
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Ciênc. saúde coletiva vol.20 número8
... executed multiple linear regression analysis for the oral health in- dicators (average DMFT 12 years, mean missing teeth and rate of decay of free population) with two factors in common and ...
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rev. educ. fis. vol.19 número4
... for multiple-comparisons ...genders. Multiple linear regression (MLR) analysis was used in each group of parameters (anthropometry, body composition, biomechanical, physiological and ...
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USE OF THE SIMPLE LINEAR REGRESSION MODEL IN MACRO-ECONOMICAL ANALYSES
... A series of econometric models are used in the macro-economical analyses in the European Union states, and we can appreciate that these are already standard. We shall emphasize the theoretical analysis regarding the ...
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Luiz Roberto Guimarães Guilherme1 , Fatima Maria de Souza Moreira1 , Nilton Curi1
... stepwise multiple linear regression (SMLR) (Juhos; Szabó; Ladányi, 2015; Menezes et ...adjusts regression models from easily obtained variables to estimate data more difficult to be acquired, ...
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J. Braz. Chem. Soc. vol.27 número11
... be multiple linear regression ...MLR model equation should be orthogonal to each one of the others and, desirably, also to their linear combinations threshold values being, ...
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