Exemplos de uso de Total variance em Inglês e suas traduções para o Português
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The total variance remained at 46.87.
Representing 67% of total variance in the index.
These factors explained 64.8% of the total variance.
The explained total variance was 43.62% Table 3.
These two factors accounted for 42.2% of the total variance.
The total variance explained by this instrument was 19.38.
This factor explained 22.4% of the total variance of the data.
The total variance explained by the validated instrument was 68.99.
Credence to some dogmas that are obnoxious and at total variance.
For the whole inventory, the total variance explained is 44.283.
Six factors were extracted,representing 59.0% of the total variance.
The model explained 55% of the total variance in the 6MWD r 0.55.
In that model, stature, age, andBMI explained 55% of the total variance.
The total variance explained by these two factors was 47.6%, with a coefficient?> 0.60.
In the two factors, the value of total variance was 64.86.
The law of total variance can be used to find the variance var(X), as follows.
Factor 1 was responsible for 27.8% of the total variance of the data.
The construct validity analysis according to the EFA is guaranteed when the total variance explanation represents more than 60% and, according to the Kaiser criterion, factors should be extracted with an Eigenvalue superior to one in order to identify the construct domains.
Eigenvalues varied between 4.29 and 1.39,explaining 82.8% of total variance.
Factor 1 eigenvalue 3.98 explained 49.7% of the total variance and factor 2 eigenvalue 0.84 10.5.
Hence, the factor analysis revealed four factors explaining 80.7% of the total variance.
Initially, to determine the number of factors,the eigenvalue were observed since this represents the portion of total variance of the variables explained by each of the factors, in other words, the larger the eigenvalue, the more important the factor.
This solution produced a factor with an eigenvalue of 3.58 andexplained 59.7% of the total variance.
Therefore, this paper applies empirical tests that consider both a measurement of total risk including idiosyncratic risk,represented by the total variance of a given firm's stock and a measurement of systematic risk measured by Sharpe's market model beta.
In the analysis of the 6MWT data,we identified two factors that explained 76.1% of the total variance.
The extraction of the five factors explained 75.8% of the total variance of the subjects' responses.
Factor analysis was able to provide 5 correlation factors explaining 71.2% of the total variance.
According to Table 3, five factors are created,which explain 62.77% of the total variance in the data.
Factorial analysis Table 2 resulted infour factors with eigenvalues> 1.3, corresponding to 82.8% of total variance.
The objective is to identify the minimum number of factors that maximize the number of total variance explained21 21.