Figure 6 shows the

coefficients of correlation between the calorific value [Q.sup.d] and normalized spectral line intensities determined on the basis of all 375 spectra.

We evaluated the relationship of dependency between these factors and the pulmonary pressure by determining the

coefficients of correlation r (quantitative evaluation of the degree of dependency) and the coefficients of determination R2 (evaluation dependency-type).

1 0.8292 0.7312 0.6180 0.4787 0.2764 0.8292 1 0.6614 0.5590 0.4330 0.2500 [[rho].sub.ki] = 0.7313 0.6614 1 0.4931 0.3819 0.2205 0.6180 0.5590 0.4931 1 0.3227 0.1863 0.4787 0.4330 0.3819 0.3227 1 0.1443 0.2764 0.2500 0.2205 0.1863 0.1443 1 Conventional correlation factors may be computed using the quadratic matrix of the basic

coefficients of correlation and Eq.

Let us assume that the arrival flow of customers is the one defined above having the coefficient of correlation [c.sub.cor] = 0.2 and we compare the key performance measures of the system with this arrival process and the arrival flows of energy having different

coefficients of correlation: [c.sub.cor] = 0, [c.sub.cor] = 0.2, and [c.sub.cor] = 0.4 also defined above.

The remaining analyzed

coefficients of correlation proved insignificant (Table 1).

Statistical results such as

coefficients of correlation and determination emerging from the process justify the potency of capital allowance as it is significantly associated with PAT, ROTA and ROSE.

In all the cases, the models of regression used for describing the relation between otoliths and the parameters of the different measures of the fishes were appropriate, reflected on the high

coefficients of correlation that oscillated between 0.71-0.98 marking a significant correlation for the slopes and intersection.

Age was weakly significant and positively (r=0.27, P=0.005) related to race time in master half-marathoners, and moderately significant in master marathoners (r=0.33, P=0.001) and master ultra-marathoners (r=0.37, P<0.0001) where the

coefficients of correlation increased with increasing running distance.

The values showing the strength of the relationship between variables, which are the most important measures of the adequacy of experimental data, namely the

coefficients of correlation (R) and coefficients of determination ([R.sup.2]), were established (Sakalauskas 2003).

We assumed, that the following statistical characteristics of the data are known: two-dimensional function of probabilities distribution [bar.[[omega]].sub.2] ([zeta],[eta],[t.sub.2],[t.sub.1]); unconditional dispersions [[sigma].sub.[zeta].sup.2], [[sigma].sub.[eta].sup.2]; mathematical expectations [[sigma].sub.[xi]], [[sigma].sub.[eta]];

coefficients of correlation R([tau]) (where [tau] is difference of time between numbers of sampling).

A multiple linear regression between the mechanical properties, geometric and anatomic characteristics yielded higher

coefficients of correlation with bending strength (described below) than the

coefficients of correlation obtained by simple linear regression analysis (presented in Table 1).

The data were analyzed by computing

coefficients of correlation between dimensions of parental behavior and academic achievement.

However, since the data we have used for our correlations is collected from the Statistical Yearbook of 2007 which depicts the situation at national level, it means that this model is totally significant for the entire population, thus, we feel entitled to recognize the values of the

coefficients of correlation.

The multidimensional

coefficients of correlation and determination and the average standard deviation of the empirical equations (1)-(4) are presented in Table 6.

The relationship between RL and volume resistivity ([[rho].sub.v]) for two kinds of the composites was further evaluated by the

coefficients of correlation (r), determined by the Eq.