The phrase "fitness of data" is correct and can be used in written English.
It can be used to describe the quality, accuracy, or completeness of a given set of data. For example, "The fitness of the data collected for the study was satisfactory."
Time at 50% breakthrough obtained experimentally compared well with τ obtained through the two-parameter logistics model indicating good fitness of data to the model.
The extent of the fitness of data with an isotherm model is determined by the regression value (R2) of the plot.
To test the fitness of data in Langmuir and Freundlich adsorption isotherms using Karl Pearson's correlation coefficient given by r = ∑(X i − X)·(Y i − Y)/n·σ x ·σ y (Eq. 1).
The fitness of data to models was evaluated by the standard error of the regressions (RMSD).
Fitness of data to normal distribution was assessed using the method of Kolmogorov and Smirnov.
Dose responses were additionally checked manually from the raw data (percentage infected macrophages/inhibition) to confirm fitness of data.
As the proposed approach employs Weibull's parameters, goodness-of-fit tests have been performed to check the fitness of tests data to Weibull's distribution.
To evaluate the fitness of the data, determination coefficient (R2), error analysis and chi-square test (χ2) were evaluated between experimental and calculated data from each model.
Regression analysis indicated the good fitness of experimental data to a quadratic polynomial model with the determination coefficient (R2) value of 0.9957 and 0.9929 for As III) and As V).
For carriageway movement, ANN 3 model gives better fitness of observed data.
The fitness of equilibrium data (Fig. 12) in Langmuir isotherm advocates the monolayer coverage of phenol onto OPA (Uddin et al. 2007).
