Multiple Linear Regression Analysis
J. Pneumologia vol.29 número1
... variance analysis was made, to assess associations between the mean gross scores of the subjects on the ten CPS scales (treated as discreet numerical variables) and the two groups of smokers (“dependent” and ...A ...
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Ciênc. saúde coletiva vol.20 número8
... Factor analysis was performed with the socioeconomic indicators, revealing two common factors: economic deprivation and socio- sanitary ...executed multiple linear regression analysis ...
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UNIVERSIDADE FEDERAL DE UBERLÂNDIA INSTITUTO DE GENÉTICA E BIOQUÍMICA PÓS-GRADUAÇÃO EM GENÉTICA E BIOQUÍMICA BIOMONITORAMENTO DA QUALIDADE DO AR DA CIDADE DE
... As observed in Table 2, the climatic factors did not change during the biomonitoring period, reflecting the fact that climatic factors did not influence the MN frequency according to the multiple linear ...
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Artificial neural networks and multiple linear regression model using principal components to estimate rainfall over South America
... and multiple linear regression analysis by princi- pal components, as temporal downscaling methods for the generation of monthly precipitation over South America (for current years and future ...
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FORECASTING THE FINANCIAL RETURNS FOR USING MULTIPLE REGRESSION BASED ON PRINCIPAL COMPONENT ANALYSIS
... the linear relations between two variables and also indicate the existence of multicollinearity between the explanatory ...However, multiple regression analysis based on this dataset also ...
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Application of Receptor Models on Water Quality Data in Source Apportionment in Kuantan River Basin
... and multiple linear regression (MLR) provides an advance tool for surface water modeling and ...component analysis (PCA) and new variables of fertilizer waste, surface runoff, anthropogenic ...
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Rev. Adm. (São Paulo) vol.51 número3
... data analysis, correlation and multiple linear regression between the variables were ...after multiple linear regression: perception of services offered, representation, ...
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Rev. Bras. Pesq. Tur. vol.11 número3
... data analysis using multiple linear regression technique, and the results indicate a significant and positive relationship between the search for happiness in the tourist experience and the ...
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Prediction of Topsoil Texture Through Regression Trees and Multiple Linear Regressions
... “Terrain Analysis” toolbox in SAGA (System for Automated Geoscientific Analyses) to provide enough quantitative data to represent landscape features and environmental functions to predict soil ...
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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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rev. educ. fis. vol.19 número4
... mixed analysis of variance (ANOVA) for repeated measures was used to compare the speed and stroke parameters between the 3 distances, LM values and 4 CS combinations, and both ...for multiple-comparisons ...
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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 ...This analysis adjusts regression models from easily obtained variables to estimate data more ...
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24-h Urinary Creatinine Excretion and Associated factors: Results from Nutrition UP65.
... Methods: A cross-sectional study was conducted with a sample of 1180 individuals (56% women) ≥ 65 years from the Nutrition UP 65 study. A sample of urine was collected in a 24-h period for each participant and creatinine ...
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REPOSITORIO INSTITUCIONAL DA UFOP: Determination of the influence of the variation of reducing and non-reducing sugars on coffee quality with use of artificial neural network.
... sensory analysis as output values. The multiple linear regression of sensory analysis values, according to the values from chemical analyses, presented a determination coefficient of ...
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Rev. bras. ortop. vol.51 número2
... a linear regression model was proposed for each of the risks, for each type of procedure analyzed: place- ment of nonspecific plates, plates specific for the calcaneus and external ...nine regression ...
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Analysis of dental caries using generalized linear and count regression models
... of linear regression and logistic regression models, which describes both quantitative and qualitative factors that are ...of Linear Models. The ideas of the theory of Linear Models can ...
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Sao Paulo Med. J. vol.131 número4
... Ater assessment to check that the data presented normal distri- bution, all the continuous variables were summarized in terms of mean ± standard deviation (SD) and categorical variables were expressed as percentages. All ...
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Demand for trucks in brazil: an econometric approach
... As for methodology, the approaches are divided in univariate time series (Davies Junior, 2011; Lourenço and Nascimento, 2012) and regression analysis. The multiple linear regression ...
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Método da Regressão Linear Múltipla Aplicado na Calibração de Sensores Inerciais/Multiple Linear Regression Method Applied in Calibration of Inertial Sensors
... Inertial Navigation Systems (NIS) use accelerometers and gyroscopes as main sensors. In a NIS, the calculation of a vehicle's position, velocity and heading is performed by processing the signals from gyros and ...
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Robust algorithms for linear regression and locally linear embedding
... generalized linear model for regression frame- work are discussed and analyzed: namely, the M-Estimator, the S-Estimator, the MM-Estimator, the RANSAC and the Theil-Sen ...
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