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![Regression Results In Figure 1, we indicate the regression results of the model analysis using Least Squares method. Firstly, the R-squared factor is 0.560899 in number, above 0.5, meaning that the regression analysis approaches reality. Let's check Coefficient numbers. C(1) is the constant value as implied. Values C(2), and C(3) are signed positively, which means a positive relation exist between Technology-Monitoring, E-Procurement and E-Sales. Checking the Probabilities in Prob. section and the Confidents together, we can see that C(1), C(2), C(3) of the Coefficient results have Probability less than a=5%. This reflects econometric theory where numbers with probabilities less than a=5%, which means results with a 95% level of confidence, have statistical significance and impact in the dependent variable. In other words Technology-Monitoring and E- Procurement affect E-Sales in a statistically significant way [15]. We see that C(3) Coefficient is higher than C(2) Coefficient for the same level of Prob. and same level of confidence. That means that E-Procurement variable affects in much higher level E-Sales factor.](profile/John-Plikas/publication/304783563/figure/fig1/AS:380216875732997@1467662175766/Regression-Results-In-Figure-1-we-indicate-the-regression-results-of-the-model-analysis.png)
Regression Results In Figure 1, we indicate the regression results of the model analysis using Least Squares method. Firstly, the R-squared factor is 0.560899 in number, above 0.5, meaning that the regression analysis approaches reality. Let's check Coefficient numbers. C(1) is the constant value as implied. Values C(2), and C(3) are signed positively, which means a positive relation exist between Technology-Monitoring, E-Procurement and E-Sales. Checking the Probabilities in Prob. section and the Confidents together, we can see that C(1), C(2), C(3) of the Coefficient results have Probability less than a=5%. This reflects econometric theory where numbers with probabilities less than a=5%, which means results with a 95% level of confidence, have statistical significance and impact in the dependent variable. In other words Technology-Monitoring and E- Procurement affect E-Sales in a statistically significant way [15]. We see that C(3) Coefficient is higher than C(2) Coefficient for the same level of Prob. and same level of confidence. That means that E-Procurement variable affects in much higher level E-Sales factor.
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Today's Greek businesses strive to overcome economic obstacles and increase their sales by constantly searching new ways of improvement and economic sustainability. The technology factor has infiltrated every aspect of our lives, making the electronic element a vital part of living. Business bubble adopts more and more technological ways of improve...
