Examples of 'significant variables' in a sentence
Meaning of "significant variables"
Factors or elements that have a notable or important impact or influence on a certain outcome or result
How to use "significant variables" in a sentence
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significant variables
Definition of significant variables to measure discontinuity.
The final multivariate model only contains significant variables.
Only statistically significant variables are discussed.
Significant variables in the univariate analysis were introduced into the multivariate analysis.
The statistically significant variables p.
Only significant variables are shown.
Marginal effects of significant variables.
The majority of significant variables were comprised of triglyceride containing particles.
This will be rerun until only significant variables remain.
The most significant variables identified in this multivariate analysis were selected.
The objective was comparing the statistically significant variables in each combination.
Other significant variables.
Salaries and commitment to the community were seen as more significant variables in the equation.
Only the significant variables p.
The sample amount and volume of solvent were identified as significant variables for the method.
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Only statistically significant variables were retained in the final models.
ORs and their respective CIs were calculated for significant variables.
The three statistically significant variables reflect firm strategies or operating approaches.
The Cox proportional risks model was used to determine the significant variables.
All statistically significant variables were evaluated for inclusion in a binary logistic regression analysis.
Both traffic and temperature were statistically significant variables in the regression model.
Statistically significant variables in univariate analysis were used to adjust the logistic regression model.
The objective was comparing the statistically significant variables in each parametric model studied.
Significant variables by the univariate logistic regression were analyzed by the multiple logistic regression.
A simple linear regression test was performed for the significant variables in the association tests.
The significant variables were the concentration of hydrochloric acid and concentration of sodium borohydride.
The models showed consistency between statistically significant variables and the direction of their respective effects.
Significant variables observed in the bivariate analysis were subsequently included in to the multivariate analysis.
We used the Kaplan Meyer method to build the survival curves of the significant variables.
The only significant variables in the context of this study were the intrinsic subtypes.
In a first regression, the least significant variables.
Stand density measures were significant variables in the models of branch angle and branch diameter.
Often, though we do not even know what all of the significant variables are.
The significant variables were visibility, area.
Table 5 compares the statistically significant variables in each parametric model studied.
Non-significant variables were removed until only significant variables remained.
Child mortality is one of the most significant variables of the population 's state of health.
Significant variables with a 5 % level of significant were maintained as part of the final model.
In the present study, some of the significant variables showed great explanatory importance.
The statistician 's standard answer would be to retain in the modelling only the significant variables.
Table 3 depicts the significant variables in the multivariate model.
Pearson 's correlation coefficient and multivariate Cox regression analysis using significant variables was also performed.
The most statistically significant variables in predicting participation are as follows,.
Age, size, and grazing treatment were not significant variables in CCA.
Initially, all significant variables identified on univariate analysis were included in the models.
Energy resources, natural resources and poverty are significant variables in the generation of conflicts.
Other significant variables are the output gap and changes in the U.S. federal funds rate.
In the incrementality regression models, the statistically significant variables reflect firm strategies or operating approaches.
Significant variables at a 5 % significance level were considered in the model.
In the multiple model, the statistically significant variables were IQ and family functioning.
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Variables are introduced in order to track such bequests
The plan of the variables is the following
Variables to be probed as part of the study include
Examples of using Significant
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Significant resources had been allocated for education
You have done significant damage to your heart
Significant direct and indirect employment created
