Simple linear regression
Neutrosophic Correlation and Simple Linear Regression
... we introduce and study the concepts of correlation and correlation coefficient of neutrosophic data in probability spaces and study some of their properties. Also, we in- troduce and study the neutrosophic simple ...
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A STATISTICAL ANALYSIS OF GDP AND FINAL CONSUMPTION USING SIMPLE LINEAR REGRESSION. THE CASE OF ROMANIA 1990–2010
... Table no. 3 shows the results of the variance of the dependent variable (GDP) under the influence of regression and residual factor. The values in columns F and Significance F provides important information ...
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USE OF THE SIMPLE LINEAR REGRESSION MODEL IN MACRO-ECONOMICAL ANALYSES
... This hypothesis is important in establishing the properties of the linear regression model. The values of the factorial characteristic are non-stochastic if each value is related to a family of values of ...
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Composition and structure of the fig wasp community in Amazonia
... To analyse the effect of the non-pollinating wasp species on the numbers of Pegoscapus and seeds, a simple linear regression was used with the number of individual wasps by genus for[r] ...
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Prod. vol.17 número3
... In many applications the quality of a process or product is best characterized and summarized by a functional rela- tionship between a response variable and one or more explanatory variables. Profile monitoring is used ...
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An empirical investigation of the Portuguese housing prices (2004-18)
... Analysis, Simple linear regression, Multiple Linear Regression Model, Ordinary Least Squares Method (OLS), and the Durbin-Watson ...the regression analysis, the dataset comprises ...
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Trends Psychiatry Psychother. vol.37 número4
... The predictor variables gender, age, educational level, employment status, health insurance coverage, HADS score, and religion were associated with the WHOQOL-BREF total score in the simple linear ...
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Forms of organic phosphorus in wetland soils
... using simple linear regression while relationships between microbial biomass P and P composition were explored using Spearman’s rank correlation against major biogenic P ...
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Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cows
... and simple linear regression model, ...cubic regression model had AICc differences from the best model ranging between 2 and 6 reflecting that these models do not fit the data as well as the ...
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2 MATERIAL AND METHODS 2.1 Study site and fi eld data collection
... of simple linear regression models, computing biophysical values (dendrometric variables and D) as dependent variables and computing refl ectance values associated to the near-infrared spectral band ...
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Learning from decoys to improve the sensitivity and specificity of proteomics database search results.
... a simple linear regression on the decoy hits for different charge states, the method maximized the number of true positives and reduced the number of false negatives in several standard datasets of ...
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The Detection of Metabolite-Mediated Gene Module Co-Expression Using Multivariate Linear Models.
... The simple linear regression approach (Section 3.2) and the GLM approach (Section 3.3) both entail fitting a separate model per metabolite. Hence, a multiple testing adjustment should be considered ...
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Calibration methods for the Hargreaves-Samani equation
... The original Hargreaves-Samani equation presented a variable performance among the studied sites and presented a tendency to overestimate reference evapotranspiration. After its calibration, with any of the studied ...
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Alline Aparecida Freitas SILVESTRE1 , Jesuí Vergílio VISENTAINER2 , Nilson Evelázio de SOUZA
... The simple linear regression models were highly significant (p ...of linear variations between the means of the parameters analysed and storage ...
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Um método não destrutivo simples para estimativa de biomassa aérea de macrófitas aquáticas emergentes
... Abstract: Aim: Non-destructive methods for estimating aquatic macrophytes biomass may be employed by using indirect measurements, especially in experimental studies, thus enabling the conservation of plant samples. It is ...
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Rev. Assoc. Med. Bras. vol.56 número3 en v56n3a14
... Battalion in Blumenau between 1963 to 2007. The sample comprised 600 out of a total of 3000 recruits enlisted over the period. Data were collected from individual enlistment iles on recruits which had been archived by ...
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Evaluation for Long Term PM10 Concentration Forecasting using Multi Linear Regression (MLR) and Principal Component Regression (PCR) Models
... Regression techniques had been used for a long time as forecasting tools in many fields, especially in air pollution forecasting. Regression has two main advantages; simple computation and ease of ...
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Egg Hatchability Prediction by Multiple Linear Regression and Artificial Neural Networks
... called linear output u, where u = ∑ w i x i ...u linear output, indicated by y = f ( ) u ...non- linear (linear, step, sigmoid or hyperbolic ...
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en 0102 311X csp 31 6 1125
... middle-income Brazilian city is decreasing, since intergenerational income mobility has increased, especially among the middle-income strata, and that income persistence has decreased. In other words, the older ...
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J. Transp. Lit. vol.9 número2
... mainly regression techniques like linear, multi-linear, logit and poisons regression have been used for modelling the road ...and linear regressions to the new modeling techniques ...
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