coefficient of multiple correlation oor Spaans
coefficient of multiple correlation
Vertalings in die woordeboek Engels - Spaans
coeficiente de correlación múltiple
Geskatte vertalings
Vertoon algoritmies gegenereerde vertalings
voorbeelde
Advanced filtering
Voorbeelde moet herlaai word.
Another measure of relationship in multiple regression is the coefficient of multiple correlation.
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It remains to specify an analog of the correlation coefficient in a multiple regression exercise.
Estoy seguro de que Alexis está manejando todo bienLiterature Literature
The coefficient of correlation (r) is called Multiple R in the Excel output, and this is 0.8333.
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The square root of R2 is called the multiple correlation coefficient between Y and the set x1 , x2 , . . . , xk .
Es importante informar al médico de que está utilizando este medicamento si tiene que hacerse alguno de estos análisisLiterature Literature
The use of fewer or other variables is acceptable if it has been proved previously that the (multiple) correlation coefficient reaches # %
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The use of fewer or other variables is acceptable if it has been proved previously that the (multiple) correlation coefficient reaches 70 %.
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The use of fewer or other variables is acceptable, if it has been proved previously that the (multiple) correlation coefficient reaches 70 %.
Así estan bienEurLex-2 EurLex-2
Thus, since the ratio of the lognormal ( Rln ) and Weibull ( Rw ) correlation coefficients Rln/Rw (for a fixed sample size) depends only on the b1ln/b1w ratio, then the multiple correlation coefficient R2 is used as the index to discriminate between both distributions.
Para la aplicación del artículo #, y teniendo en cuenta las peculiaridades del sector de los transportes, el Parlamento Europeo y el Consejo, con arreglo al procedimiento legislativo ordinario y previa consulta al Comité Económico y Social y al Comité de las Regiones, estableceránscielo-abstract scielo-abstract
In order to carry out statistical research with sensitivity analysis of multiple correlation coefficients obtained by linear regression, a great deal of knowledge of statistical techniques is required.
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Next, R provides us with a series of data (the standard deviation of the residuals, the square of the multiple correlation coefficient or coefficient of determination and its adjusted value) among which is the F’s contrast to validate the model.
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Accordingly, the sample squared multiple correlation coefficient is the commonly reported strength of association index in practical applications of multiple linear regression.
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Multiple Correlation Coefficient, R - A measure of the amount of correlation between more than two variables.
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Method: This paper examines the sample size procedures proposed by Bonett and Wright for precise interval estimation of the squared multiple correlation coefficient.
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Multiple regressions analysis was used to select the best two, three or more crossbreed's model for each trait, according to the square of the multiple correlation coefficients (R2) and the Mallow statistic (CP).
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To find the relationships were used the Pearson's Coefficient of Correlation and Spearman as well as a model of Multiple Lineal Regression.
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Results: A+B motility was 51.55% for 20-29 years of age male participants; normal spermatozoids were found in 77.73% of males above 50 years of age; the spermatic count (mill/ml) was 61.09 for males above 50 years of age. Spermatic motility had a multiple lineal correlation coefficient of 0.222 and a determination coefficient of 0.049; respective values for the spermatic count were 0.465 and 0.216.
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The methodology departed from the description of variables, then the degree of association between them (Pearson correlation coefficient), the shaped groups (ANOVA test and LSD multiple comparison Fisher) were compared; and finally, the degree of clustering among the variables (Test Average linkage) was established.
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The null hypothesis proposal is accepted; on the other hand for spatial and interpersonal areas, the test yields a smaller alpha significance (p <0.05) which means that for these areas the proposal null hypothesis is rejected; while in their continued correlational coefficient being inversely proportional as in the other areas of the multiple intelligences variable correlated with the selfconcept variable.
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The information processing included univariate statistical methods (Chi square test and the correlation coefficients of Pearson, Phi and V of Cramer) and the multiple logistic regression with dichotomic response as a multivariate method.
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Finally, the standard deviation of the residuals is provided, the square of the multiple correlation coefficient or determination coefficient (the precision with which the line represents the functional relationship between the two variables; its square root in simple regression is the Pearson’s correlation coefficient), its adjusted value (which will be more reliable when we calculate regression models with small samples) and the F contrast to validate the model (the variance ratios follow a Snedecor’s F distribution).
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The analysis also included instruments to measure association like the Spearman correlation coefficient; the Tukey’s Multiple Comparison test; and the cluster analysis which, through the use of a set of multivariate techniques, allows the grouping of objects and individuals based on their characteristics and the identification of groups of individuals that are more internally homogeneous and heterogeneous among them.
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The validity of self-reported anthropometric estimates was explored by correlation coefficients and sensitivity, specificity, predictive values and kappa to detect measured overweight/obesity (BMI > 25 kg/m2). Multiple linear regression was used to explore the factors related to the discrepancies between self-reported and measured data.
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The sample was determined was 180 employees, to which we applied the instrument consisted of 36 questions, using Likert scale with multiple choice alternatives. We proceeded to analyze the results, then the hypothesis testing was performed using the statistical test known as Spearman's rank correlation coefficient, because the variables are qualitative study. Finally, it was determined that the application of a system of competency assessment positively influences the administrative management of workers at
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An analysis of variance was applied to determine the significant differences between the chemical and instrumental data; a correlation among the chemical, instrumental and sensory data was obtained with a multiple factorial analysis and the Rv coefficient.
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28 sinne gevind in 18 ms. Hulle kom uit baie bronne en word nie nagegaan nie.