Exemplos de uso de Total variability em Inglês e suas traduções para o Português
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The first three components explained 83.2% of total variability in the variables.
This analysis, carried out using the STATA software, produced several factors,from among which was chosen the one responsible for the highest proportion of total variability.
The first three dimensions explained 40.2, 32.6, and 14.1% of the total variability of the data, respectively.
The ICC was used as an estimate of the total variability given by the sum of the natural variability and the measurement error variability. .
The three dietary patterns resulting from the PCA explained 35.4% of the total variability of data.
The factorial analysis explained in 70.44% total variability distributed in three factors composed of traits and rates.
However, in relation to gender,the 6MWT was able to properly explain the total variability of the SPD.
If the extracted factors explain more than 50% of the total variability of the entropy hri, the analysis is considered acceptable.
A set of 13 variables was retained in the first model,being responsible for 38% of the total variability.
However, these measures may underestimate the total variability of body shape, not detecting other possible dimensions.
The multiple regression model, including the 6MWT and gender,explained 26.6% of the total variability of SPD Table 2.
The first component explained 80.9% of the total variability; while the second component, explained 9.1% and, finally, the third component explained 5.8% of the total variability.
The results of correspondence analysis showed that the two dimensions explained 42.9% eigenvalue of total variability.
The partial square Eta h was calculated for the evaluation of the total variability ratio attributable to the time factor.
Analysis of the principal components with the utilized variables produced a Factor 1 with 87% of the total variability.
It corresponds to the variability quotient between patients for total variability between patients and systematic error.
The linear regression analysis comparing the 6MWT to the total IPAQ scores selected only the 6MWT as being determinant of 26.5% of the total variability of SPD.
RESULTS: The illiteracy and the poverty index explained 24.6% of the total variability of the homicide rates and there was an inverse relationship.
Thereafter, the principal factor analysis revealed questions with a low correlation with the total variability flag.
On the other hand, a meta-analysis with I2 50 means that half of the total variability among effect sizes is caused not by sampling errors, but by true heterogeneity between studies.
The initial results prior to rotation identified three factors that accounted for 56.5% of the total variability of the data.
When h increases,the semivariogram approaches the total variability of the data, which is called a sill. If there is second-order stationarity, the semivariogram expresses the degree of dependence between the sampled points.
As intra-patient variability of the remaining records is 200g or less, the total variability falls, increasing ICC.
The I test describes total variability due to heterogeneity; values equal to zero do not represent heterogeneity between studies; values below 25% represent low variability; intermediate values between 25 and 50%, moderate; and values greater than 50%, represent high variability. .
The sill represents the height at which the semivariogram stabilizes and approaches the total variability of the values sampled.
The ICC, also known as the reproducibility coefficient R, estimates the fraction of the total variability in measures that is due to variations among individuals.
In the internal consistency analysis, Cronbach's Alpha coefficient(á)varied from 0.72 to 0.93(Table 3) and the factor analysis revealed that the questions explain 54.7% of the total variability of the data.
The ICC is a measurement expressed as the ratio between variability of different patients and total variability variability among different patients added to intra-patient variability.
However, the linear regression analysis comparing the 6MWT andthe total IPAQ score selected only the 6MWT as being determinant for the total variability of the SPD.
It is suitable to measure the homogeneity of two or more quantities andis interpreted as the proportion of the total variability attributed to the measured object.