An error analysis demonstrated the high accuracy of our pecScreen models, giving respectively a mean absolute error and a

coefficient of determination [R.sup.2] of 0.115 bar and 0.9995 for square woven, and 0.294 bar and 0.9996 for Dutch weave screens.

Graphing the data added quantity versus quantity recovered gives a

coefficient of determination of 0.999 and slope of 0.9931, and the ordinate to the origin passes through zero (Figure 9).

j) The general hypothesis was tested, based on the results obtained with the

Coefficient of Determination ([R.sup.2.sub.Adj.]): X1.1 Quality standards 0.909, XI.2 Quality control systems 0.56, and X1.3 Quality inspection systems 0.511.

According to the results in Figure 1, it is possible that the separation of leaves into size class can contribute to maximize the

coefficient of determination ([R.sup.2]) when leaves are grouped into a single size class.

The selection of the best model took place by using the

coefficient of determination ([R.sup.2]), the mean squared error (MSE) and Akaike

Coefficient of determination ([r.sup.2]) was 0.684 which implies 68.4% change in BAZ can be attributed to BFP.

The proposed model was selected through the highest

coefficient of determination ([R.sup.2]).Schumacher equation model, in this case, was selected as the proposed model for predicting height growth of dominant trees and site index..

The

coefficient of determination [R.sup.2] = 0.194 [R.sup.2] = 0.194, and the Durbin-Watson statistics reach the value of 1.49.

CurveExpert calculated the

coefficient of determination and standard error among 33 common trends/models available and found that The MMF regression models for all wetland components provided satisfactory accuracy with highest coefficients of determination (R2) and lowest standard error (S).

Several goodness-of-fit criteria (

coefficient of determination (R2%), adjusted

coefficient of determination (Adj.R2%), coefficient of variation (CV%), SD ratio, Root Mean Square Error (RMSE), Relative Approximation Error (RAE), Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE), and Pearson correlation between actual and predicted values were estimated for describing the most suitable algorithm in terms of the predictive performance.

The

coefficient of determination of (3) is 0.993684, which indicates high degree of fitting, namely, high reliability of the trend.

Comparison of Linear

Coefficient of Determination, [R.sup.2], for Different Adsorption Isotherm Model.