Electronic reverse auctions (e-RAs) are considered to be an effective tool for negotiating tender prices and achieving cost savings. Furthermore, if multicritera evaluation is used, it can be expected that e-RAs will also contribute to achieving benefits in other areas, e.g. helping to minimize life-cycle costs. This study aims to analyse the mutual relationships between selected e-RA variables. More specifically, correlation analysis is applied to explore real e-RA data representing public tenders for construction work. This study’s findings reveal that the correlations examined are generally weak or very weak. Furthermore, it has been found that the value of correlation coefficients varies depending on the type of structure, and that public tenders are usually evaluated solely on the basis of the criterion of the lowest bid price. Recommendations for public authorities in using e-RAs in the role of the buyer are also provided at the end of this paper.