<![CDATA[When designing the substructure of a building or infrastructure, it is essential to use soil parameters obtained from both laboratory and field investigations. These parameters help assess actual ground conditions and estimate reliable bearing capacity on-site. Two common field tests used for this purpose are the Cone Penetration Test (CPT) and the Standard Penetration Test (SPT). This study explores the correlation between the results of these two methods, aiming to achieve more efficient and cost-effective soil analysis. The analysis draws on data from a total of 16 points of field investigation—8 from SPT and 8 from CPT—conducted across the research area. The statistical testing show that both the correlation coefficient (R) and the coefficient of determination (R²) are close to 1, indicating a strong relationship. Specifically, the linear model produced values of 0.931 for R and 0.866 for R²; the quadratic model yielded 0.932 and 0.868; and the cubic model gave 0.950 for R and 0.903 for R². The t-test results also indicate that the N-SPT is statistically significant influence on the qc across all models. The derived correlation equations between N-SPT and qc are as follows: Linear model: N-SPT = 0.208 qc + 1.004, Quadratic model: N-SPT = 0.0002 qc² + 0.1859 qc + 1.205, and Cubic model: N-SPT = 0.00001 qc³ - 0.036 qc² + 0.4018 qc + 0.1323.]]>
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