Examples of using Continuous variables in English and their translations into Spanish
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And what if we want to compare several continuous variables at once?
Continuous variables are expressed as mean± standard deviation.
The scale of the different continuous variables was evaluated using Box Tidwell tests.
Continuous variables were expressed as averages+/- standard deviation.
Measures of central tendency and dispersion for continuous variables were calculated.
For this reason, continuous variables are‘rounded' to a specified level.
Use the matrix plot to examine the relationships between two continuous variables.
Continuous variables were compared using the Wilcoxon rank-sum test.
Biological The biological markers were continuous variables for all analyses. Analysis.
Continuous variables were reported as median with interquartile ranges.
The Pearson correlation evaluates the linear relationship between two continuous variables.
Continuous variables were compared with ANOVA and prevalences with? 2(SPSS and MEDCAL).
The ANOVA showed that offspring differ significantly(p<0.001) for both continuous variables.
Correlation between 2 continuous variables was calculated using the linear regression model.
In some problems the PSO is often more computationally efficient than the GAs,especially in unconstrained problems with continuous variables.
Characterize all continuous variables as well as the factors of confusion and interaction.
The Burt table is the symmetric matrix of all two-way cross-tabulations between the categorical variables, andhas an analogy to the covariance matrix of continuous variables.
We evaluated continuous variables for normal distribution using the Kolmogorov-Smirnov test.
Laboratory test done to confirm TB diagnosis 1 Smear 2 Culture 3 GeneXpert 4 Line Probe Assay 5 Other(Specify:)6 No record of laboratory confirmation For continuous variables, categories cannot be specified.
Continuous variables with a normal distribution were presented as mean± standard deviation.
In the meantime, to establish the association between continuous variables and another category, variance analysis is used.
Continuous variables were explored for normal distribution with the Kolmogorov-Smirnov test.
This type of code is used to encode continuous variables such as joint position, eye position, color, or sound frequency.
Applied to all continuous variables and those discrete variables with high cardinality.
In fact, it would be ideal to identify the model variability according to the values of the continuous variables, in such a way that the data adjustment would be more adapted, which would lead to a better description of behavior of the dependent variable. .
To solve this problem with respect to the independent continuous variables, this study used as an analysis strategy, the construction of regression trees, which is a non-parametric method coming from the techniques CART, which construct the regression tree through the segmentation(partition) technique.
We first provide descriptive statistics for the continuous variable, shown in Table 4.1.
We first provide descriptive statistics for the continuous variable, shown in Table 3.1.
Continuous variable can assume any value within a specified range.
The dependent variable, Quality,was a continuous variable with a range of 2-14;