The phrase "adequate to predict the" is correct and usable in written English.
You can use it when discussing the sufficiency of information or methods to make predictions about a certain subject or outcome.
Example: "The data collected from the experiment was adequate to predict the results of future trials."
Alternatives: "sufficient to forecast the" or "capable of anticipating the".
The Weibull distribution was adequate to predict the impact failure strength of ECC, allowing to avert additional costly experiments.
In addition, the generated RSM model was statistically significant and adequate to predict the results with minimum error of <4%.
As a result, separate channel models for the OW and RF links are mostly adequate to predict the hybrid system performance.
Therefore, it can be concluded that the above models (Eqs. 6, 7) were adequate to predict the MG dye removal and the LPAC yield within the range of variables studied.
The residual standard error of 0.2% indicated that there was no significant difference between the actual and predicted values and it proved that the models were adequate to predict the relevant responses.
It is shown that whilst first order theory is adequate to predict the imaginary part, a second order calculation is required to predict the behaviour of the real frequency variation.
The model was found adequate to predict within the range of the experimental variables.
The introduction of regulatory size-selection curves for air-monitoring applications means that it is no longer adequate to predict only the median cut point (D50) of a size selector.
The model reached a satisfactory level of correct classification of the cases, of 85%, proving adequate to predict belonging to the respective groups.
It is found that while a continuum model based on a mean field description of the surface is adequate to predict ignition, large discrepancies from the multiscale predictions are observed on the ignited branch and for the extinction temperature due to adjacency requirements at the microscopic level.
The variables considered were the temperature, H2O2 concentration and Fe2+:H2O2 ratio, for a dye concentration of 0.3 mM and pH 3. The multivariate experimental design allowed to develop quadratic models for: (i) color removal and (ii) total organic carbon (TOC) reduction (both after 2 h of reaction), which were adequate to predict responses in all the range of experimental conditions used.
