**Hypothesis H1.** *Accessibility affects effectiveness (alternative hypothesis).*

The correlation analysis pointed to a relationship between the two variables. The Pearson Correlation equals 0.39 and is significant (Table 7), thereby allowing forregression analysis.

The ANOVA analysis showed that F coefficient equals is significant, F (1; 96) = 17.23; *p* < 0.001 (Table 8). The regression model points to the explanation of 14.3% of the variance, i.e., adjusted R-square equals 0.143 (Table 9). In the regression equation (Equation (1)), the constant is insignificant since the relationship between the variables can be described as follows:

$$\text{Acccessibility } (\pm 0.93) = 0.39 \times \text{Effectiveness } (\pm 0.094) \tag{1}$$

**Table 8.** Correlation between accessibility and effectiveness.


<sup>a</sup> Dependent Variable: E\_Effectiveness. <sup>b</sup> Predictors: (Constant), D\_Accessibility.

**Table 9.** Regression model summary.


<sup>a</sup> Predictors: (Constant), D. <sup>b</sup> Dependent Variable: E.

Based on the above regression analysis H0 hypothesis was rejected in favor of the alternative hypothesis H1.
