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multiple linear regression

TítuloArchitectural indoor analysis: A holistic approach to understand the relation of higher education classrooms and academic performance

TítuloArchitectural indoor analysis: A holistic approach to understand the relation of higher education classrooms and academic performance

... Then, multiple linear regression is ...Moreover, linear regression analyses support previous literature concerning the influence of learning physical environment on academic performance ...

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TítuloA methodology for the design of experiments in computational intelligence with multiple regression models

TítuloA methodology for the design of experiments in computational intelligence with multiple regression models

... Ten linear and non-linear regression models included in the RRegrs package were em- ployed in this work: Multiple Linear Regression (lm) (Kutner, Nachtsheim & Neter, 2004), ...

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Modelling performance management measures through statistics and system dynamics-based simulation

Modelling performance management measures through statistics and system dynamics-based simulation

... A multiple linear regression anal- ysis is used to interpret the relations between input measures and their effect on each strategic ...through linear regression equations, but as ...

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Publicidad, pluralismo y elecciones: gobiernos locales y sus gastos en medios de comunicación

Publicidad, pluralismo y elecciones: gobiernos locales y sus gastos en medios de comunicación

... a multiple linear regression model, where the municipalities acted as units of analysis, defining municipal media spending during the 2016 election year as a dependent variable and different ...

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Facilitation by nurse plants regulates community invasibility in harsh environments

Facilitation by nurse plants regulates community invasibility in harsh environments

... used multiple linear regression analy- ses with categorical variables, where the number of ...the regression model as the continuous predictive variable, and the habi- tat type where samples ...

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Creation Of The Production Function Of The Prc Corporation Under Unstable Economy

Creation Of The Production Function Of The Prc Corporation Under Unstable Economy

... multiplicative multiple regression equation of the form (2), which can be obtained after logarithmization in the form of a multiple linear regression equation (3) ...

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SYLLABUS Statistics Applied to Education and Psychology doc

SYLLABUS Statistics Applied to Education and Psychology doc

... Course is theoretical and practical, belongs to the area of science; it is designed to develop and expand the skills of analysis of educational data, psychological, and social data that you began to acquire in the course ...

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A Comparison between Multiple Regression Models and CUN BAE Equation to Predict Body Fat in Adults

A Comparison between Multiple Regression Models and CUN BAE Equation to Predict Body Fat in Adults

... From the present study we conclude that there are simpler models than CUN-BAE equation that fits BF as well as CUN-BAE does. Therefore, it could be considered that CUN-BAE overfits and it violates the principle of ...

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Distribución de las transformaciones lineales de los residuos mínimos cuadrados studentizados internamente = Distribution of linear transformations of internally studentized least squares residuals

Distribución de las transformaciones lineales de los residuos mínimos cuadrados studentizados internamente = Distribution of linear transformations of internally studentized least squares residuals

... arbitrary linear transformation of internally Studentized residuals of multivariate regression with elliptical ...non-singular linear transformation of internally and externally Studentized residuals ...

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Genome wide identification of new Wnt/beta catenin target genes in the human genome using CART method

Genome wide identification of new Wnt/beta catenin target genes in the human genome using CART method

... Results: In this study, we propose 89 new Wnt/β-catenin pathway target genes predicted in silico by using a method based on multiple Classification and Regression Tree (CART) analysis. We used as decision ...

15

An assessment of the impacts of recent food market shocks on food prices using price transmission analysis

An assessment of the impacts of recent food market shocks on food prices using price transmission analysis

... 6 estimated so as to capture the long-run relationship between wholesale and consumer prices, the (possibly non-linear) adjustments toward long-run parity, as well as the short-run dynamics. Like RSVECMs, STVECMs ...

140

Association Between High Serum Estradiol Levels and Delirium Among Hospitalized Elderly Women

Association Between High Serum Estradiol Levels and Delirium Among Hospitalized Elderly Women

... Recent studies have also shown that high circulating levels of endogenous estrogens are significantly as- sociated with myocardial no-reflow in postmenopausal women with acute myocardial infarction, even after adjusting ...

5

TítuloHealthcare experience and their relationship with demographic, disease and healthcare related variables: a cross sectional survey of patients with chronic diseases using the IEXPAC scale

TítuloHealthcare experience and their relationship with demographic, disease and healthcare related variables: a cross sectional survey of patients with chronic diseases using the IEXPAC scale

... Patients’ Healthcare Experiences: A Survey Using IEXPAC in Patients with Chronic Diseases Table 5 Multivariate analysis: Multiple logistic regression models for IEXPAC overall experienc[r] ...

11

Formal lifelong e learning for employability and job stability during turbulent times in Spain

Formal lifelong e learning for employability and job stability during turbulent times in Spain

... information, multiple binary logistic and ordinal regression models on formal education activities are used to check the separate effects of independent variables and demonstrate that Spanish people who ...

27

Introducing Railway Time in the Balkans  Economic effects of railway construction in Southeast Europe and beyond since early 19th century until present days

Introducing Railway Time in the Balkans Economic effects of railway construction in Southeast Europe and beyond since early 19th century until present days

... Since we want to incorporate additionally the impact of the neighbouring cities’ accessibility to railway tracks in our model, we apply the linear multilevel model augmented by a spatial lag in the explanatory ...

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Imágenes de destinos turísticos seguros en los Estados Unidos en manos de afroamericanos

Imágenes de destinos turísticos seguros en los Estados Unidos en manos de afroamericanos

... of regression analysis testing the effects of demographics, past travel experience, perceptions of personal safety, and perception of the likelihood of a health- related crisis occurring during travel on ...

17

Use of Neuroevolution to Estimate the Melting Point of Ionic Liquids

Use of Neuroevolution to Estimate the Melting Point of Ionic Liquids

... traditional linear regression model [2], since then many works follow a similar methodology with different datasets [3], ...a Regression Forest method for melting point estimation; that model lead to ...

8

Predicción de biomasa radicular en especies de pastizales semiáridos en el sur del Desierto Chihuahuense

Predicción de biomasa radicular en especies de pastizales semiáridos en el sur del Desierto Chihuahuense

... Several regression analyses pursuing to estimate root biomass from above ground plant traits were run for data of all the species as a ...exponential regression models showed (Table 5) to be statistically ...

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A FUNCTION FOR THE LORENZ CURVE

A FUNCTION FOR THE LORENZ CURVE

... Using these initialization values, we obtain very good non-linear regression results.. Using this function to estimate income distribution data gives us results which are.[r] ...

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Standardizing effect size from linear regression models with log-transformed variables for meta-analysis

Standardizing effect size from linear regression models with log-transformed variables for meta-analysis

... with linear regression models that use different transformations of dependent and/or inde- pendent ...their regression models with different tra- nsformations to estimate the effect to be ...

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