The study examines the impact of precipitation on the distribution of apparent specific electrical resistivity (ASR) in the soil through statistical analysis of data measured in a direct current geoelec-tric Dipole-Dipole (DPDP) electrode array in the park of the University of Miskolc, on an artificial-ly constructed area. Following data filtering, regression analysis (Montgomery et al., 2012) and analysis of variance (ANOVA) (Montgomery, 2012; Kim, 2014) were applied to investigate the relationship between precipitation and ASR. Separate analyses were conducted for each measured depth level as a function of the precipitation amount recorded over the three months prior to the geoelectric measurements. The combined application of statistical methods provides an effective tool for understanding the hydrogeological state of the soil and the dynamics of subsurface water movement, while considering the influence of environmental factors and human activity. The results of the study may be valuable for interpreting data provided by monitoring systems and for shallow geophysical investigations aimed at mapping the hydrogeological functioning of an area.