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Taxation and transport
 Kocsisová, Tereza ; Vítek, Leoš (advisor) ; Pavel, Jan (referee)
The aim of this diploma thesis is to find suitable regression models between the chosen statistical data of transport and GDP per capita and determine whether these models are statistically significant. The first part is a theoretical introduction to the problems of transport in terms of economics, as well as a description of methods of regression analysis, which is used in the practical part. The practical part draws data from Eurostat's website that provide for this thesis sufficient statistical basis. The data are graphically processed as scatter charts, based on these are determined mathematical equation of regression. The choice of suitable regression analysis is based on coefficient of determination and significance level is alpha = 0,05.
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