The phrase "trend of the data" is correct and can be used in written English.
You could use it when discussing quantitative analysis or summarizing the results of a data set. For example, "After examining the data, it was clear that there was a downward trend in the results."
The potential and current density were calculated, and the distribution trend of the data was analyzed.
But the underlying trend of the data suggests only modest growth because of the tight jobs outlook.
Though there was no formal prediction relevant to this broader exploration, it is interesting to note that the beginning of the meditation period corresponds to a striking inflection in the trend of the data.
Application of a one-dimensional advection dispersion flow model, that included two empirical kinetic terms to account for particle retention in the porous media, produced data fits that followed the general trend of the data, but did not truly capture the concentration maxima in the data sets.
It has been found that the temperature dependency of the cohesive parameter may improve the performance of the model at low temperatures and the expression derived for the description of association may qualitatively improve the description of the trend of the data near the critical temperature.
As Fp is increased, the changes become less pronounced, and the trend of the data indicates that for Fp large enough, there is no increase in the transfer rate in pulsatile flow, and this appears to be independent of the value of α.
Such quantile plots usually provide useful information of the trends of the data, and hence can be used also for qualifying the model-based predictions.
Use of individual data points for this purpose will often blur the trends of the data, and for this reason we recommend using quantiles of exposure values for display of the observed data.
The first is to extract the periodic and trend components of the data and analyze the residual.
But given the trend of the unspoiled data, they can mathematically extrapolate, correcting for aberrations.
Afterwards, the model is not quantitatively accurate but indicates well the trend of the experimental data.
