STATISTICAL ANALYSIS OF THE RELATIONSHIP BETWEEN OBSERVED CHARACTERISTICS
STATISTICAL ANALYSIS OF THE RELATIONSHIP BETWEEN OBSERVED CHARACTERISTICS

Summary/Abstract: All statistical surveys are conducted using statistical methods, where one phenomenon can be analyzed independently of other phenomena, where in that case we consider such an analysis as one-dimensional. On the basis of the results obtained during the analysis, a conclusion is made, ie. a decision is made.However, individual phenomena in nature and society cannot always be presented and observed individually because they are intertwined.There is a certain interdependence between them.Such a relationship between phenomena is simply a consequence of a certain legality, regularity.In statistical research of time series, one basic feature is that based on data from the past and present, future events can be predicted, while at the same time, the existence of relationships between phenomena is determined.This analysis does not represent a cause and effect analysis, but determines the relationship between observed phenomenaIt gives an answer to the question of whether changes in one phenomenon result in a change in another phenomenon, i.e. They determine the interconnectedness of phenomena and their strength, or some would emphasize whether there is a certain agreement in the movement of variations..These interdependencies are determined by statistical methods based on the combination of variations. It is on this basis that the research presented in the paper is based.The aim is to examine a certain statistical relationship between total electricity production in BiH and exported electricity from BiH.There is much research in the literature on the association of phenomena using linear regression.The notion of correlation is briefly explained, represented by the correlation coefficient Pearson’s coefficient, Spearman’s coefficient.

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