Examples of 'remaining variables' in a sentence
Meaning of "remaining variables"
This phrase is often used in mathematical, scientific, or programming contexts to refer to the factors, elements, or unknowns that are still left to be determined or considered. It denotes the variables that have not yet been accounted for or resolved in a given equation or problem
How to use "remaining variables" in a sentence
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remaining variables
The remaining variables produced no intergroup differences.
There were no gender differences for the remaining variables.
The remaining variables showed no statistical significance.
There has been no significant correlation with remaining variables.
The remaining variables were analyzed by frequency distribution.
No significant differences were observed regarding the remaining variables.
The remaining variables are then obtained directly.
There were no statistically significant differences in the remaining variables.
Hold all the remaining variables constant.
There were no significant differences between groups in the remaining variables.
The remaining variables showed values considered satisfactory.
The screen will now show the remaining variables.
All remaining variables did not reach statistical significance.
There were no statistically significant associations for the remaining variables studied p.
The remaining variables were listed as independent.
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No significant differences were observed between the groups in the remaining variables.
The remaining variables are the same as previously defined.
Absolute and relative frequencies were calculated for all remaining variables.
All of the remaining variables had.
This is in order to see comparable experimental results in the remaining variables.
The remaining variables will be attended to in due time.
Profile analysis was used for remaining variables evaluated in the four moments.
The remaining variables were classified as risk factors for hospitalization.
Optimal variables in the optimal solution are the remaining variables equal zero.
All the remaining variables were excluded from the model.
Frequency of milk intake was excluded due to its weak correlation with the remaining variables.
The remaining variables analyzed did not show a statistically significant relationship.
The upward trend in GDP is accompanied by a similar trend in the remaining variables.
The remaining variables did not differ between boys and girls.
Because time and budget are fixed, the only remaining variables are the requirements.
The remaining variables did not exhibit any statistically significant differences.
On the opposite, all indicators of the remaining variables show significant positive mutual correlations.
The remaining variables tested did not alter the order of the results.
Income also lost its predictive ability of mortality, when controlled by the remaining variables.
The values for the remaining variables are as described in the first embodiment.
Interpretations for each variable were performed, keeping the characteristics of the remaining variables under control.
The remaining variables may be tuned based on desired performance and experimental testing.
In subproblem i, let Vi denote the set of remaining variables.
The remaining variables are each and independently as described above in the preceding paragraph.
Is phenyl or substituted phenyl ; and the remaining variables are defined as in Formula VI.
The remaining variables did not show statistically significant differences between the two groups.
There have been no statistically significant differences among remaining variables Tables 2 and 3.
The remaining variables representing dietary intake remained stable throughout the investigated period.
No significant differences were found in the remaining variables ( Table 1 ).
The remaining variables were analysed for statistical significance using two tailed unpaired t test.
Finally, in the last stage of regression Table 1, the remaining variables were included.
The remaining variables were excluded during logistic regression since they did not show statistical significance.
No statistically significant associations were identified in the remaining variables p > 0.05.
The remaining variables of postural assessment has joined the right and left lateral view.
No differences were identified between the groups for the remaining variables p > 0.05.
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And renumber the remaining paragraphs accordingly
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