Page 94 - Gričar, Sergej, Barbara Rodica and Štefan Bojnec, 2016. Sandwich Management. Koper: University of Primorska Press
P. 94
Sandwich Management
Figure 27: Graphical visualization of hours worked on the project
Source: Own source, 2014.
The highest activity of working hours on the project was between Au-
94 gust and September (Table 6). From the figure above, it is evident to see that
the peak of performed activities was accomplished between the months of
August and September. The interesting fact is the working hours during
June which dropped slightly following May. However, this decline was fol-
lowed by a rise in June. This factor is a result of the school year, when stu-
dents have their busiest exam period.
This was one of the determining factors which resulted in a sharp in-
crease in working hours, confirmed participation on fair AGRA which
presented additional motivation for extra work on the project during the
last two months. In the picture below we see that the prices in catering are
unstable and vary over time. For econometric analysis, variables »work on
project« and »prices in catering« are not compatible. As an example for
the project we conducted a regression between variables, even though this
regression gives us distorted results. This latter point is due to not being al-
lowed to include variables with a different order of integration within the
regression analysis. Simple, bivariate regression analysis has been calculat-
ed in a program called JMulti, this was after using the method of ‘ordinary
least squares’ (OLS). Through the regression analysis we would like to find
out whether two variables function together in a cause and effect relation-
ship. It is also essential for us to observe what kind of relationship these
two variables are, or whether they are positive or negative.
From the equation below we can see that variables do not have a mutu-
al statistically significant effect. None of the coefficient (alpha or beta) are
statistically significant. The adjusted coefficient of determination is also ex-
tremely low.
Figure 27: Graphical visualization of hours worked on the project
Source: Own source, 2014.
The highest activity of working hours on the project was between Au-
94 gust and September (Table 6). From the figure above, it is evident to see that
the peak of performed activities was accomplished between the months of
August and September. The interesting fact is the working hours during
June which dropped slightly following May. However, this decline was fol-
lowed by a rise in June. This factor is a result of the school year, when stu-
dents have their busiest exam period.
This was one of the determining factors which resulted in a sharp in-
crease in working hours, confirmed participation on fair AGRA which
presented additional motivation for extra work on the project during the
last two months. In the picture below we see that the prices in catering are
unstable and vary over time. For econometric analysis, variables »work on
project« and »prices in catering« are not compatible. As an example for
the project we conducted a regression between variables, even though this
regression gives us distorted results. This latter point is due to not being al-
lowed to include variables with a different order of integration within the
regression analysis. Simple, bivariate regression analysis has been calculat-
ed in a program called JMulti, this was after using the method of ‘ordinary
least squares’ (OLS). Through the regression analysis we would like to find
out whether two variables function together in a cause and effect relation-
ship. It is also essential for us to observe what kind of relationship these
two variables are, or whether they are positive or negative.
From the equation below we can see that variables do not have a mutu-
al statistically significant effect. None of the coefficient (alpha or beta) are
statistically significant. The adjusted coefficient of determination is also ex-
tremely low.
