The phrase "adequate for the data" is correct and usable in written English.
It can be used when discussing whether something meets the necessary standards or requirements for a specific set of data.
Example: "The analysis method we chose is adequate for the data we collected during the experiment."
Alternatives: "sufficient for the data" or "suitable for the data".
The results justify that the model is adequate for the data, and the performance of our proposed method is better than the others.
The model under consideration is adequate for the data if at least 100* q% of the actual observations lie in this interval.
Therefore, a (1-x) value of 0.95 is adequate for the data set of this simulation; however, the choice of the x value may depend on the size of the data set and the genetic constituents of a population: a higher (1-x) may be adequate for a large data set and/or a data set containing monozygotic twins.
A shorter reference to this validation is also placed in the Results section, prior to the discussion of PCA results: "We extensively verified the validity of our PCA analysis, comparing it to standard PCA on restricted that our PCA analysis was adequate for the data, and performed better than local non-linear approaches".
Secondly, this model had been selected as the most adequate for this data set since the beginning of the analysis (area = 94.8 %).
A dynamic flow-level 3D model for spatial sensor deployment and communication, which is more adequate for evaluating the data and energy transfer capabilities.
Only the aggregation of the numerous subgroups and the variance and regression analyses used here that included the various factors that were present to a different degree in each patient appeared to be adequate for analyzing the data.
(The challenge is always to find an adequate model for the data span to be adjusted, if one exists).
Next, we conducted a confirmatory factor analysis (CFA) to examine if specifying the factor structure from the EFA (where items only loaded on one factor) was an adequate fit for the data.
In bold the models having adequate fit for the data.
This is particularly helpful when more than one model is an adequate fit for the data.
