Correlation and regression analysis, ANOVA, multiple comparison by Scheffe's post hoc test are used in the current study to figure out the influence of 13 soil parameters present in various agricultural soils in a batch adsorption study of Cr (VI). The soil parameters namely pH, electric conductivity (Eh), Ca, CaO, organic carbon (OC), organic matter (OM), cation exchange capacity (CEC), available nitrogen, sulfur, potassium (K) and Sodium (Na) etc were estimated for all the soil samples as they play a vital role and influences the adsorption affinity of metal ions on the soils. Among the 48 soil samples lowest pH was found in range of pH was 4.86 - 7.94, the CEC values ranged between 0.696meq/100g to 5.99meq/100g. The adsorption affinity of Cr (VI) on various agricultural soils was carried out in a batch adsorption study with experimental conditions, the Cr (VI) adsorption was found to be in the range of 37.78% to 98.725%. Statistical analysis using correlation and regression analysis along with one way ANOVA were used to identify the influence of soil parameters on adsorption of Cr (VI) has been carried out. A significant positive correlation was observed between soil parameters and adsorption of Cr (VI) at 10ppm at 0.01 levels. The parameters CaCO₃ and P₂O₅ had shown significant negative correlation.