## 2 Materials and Methods
For this purpose, various soil characteristics were determined, including the depths at which the soil samples were collected, groundwater level depths relative to the ground surface, unit volume weights, water contents, sieve analysis results for sieve No. 10 (2.0 mm) and No. 200 (0.074 mm), internal friction angles, cohesion coefficients, and bearing capacity values. The mechanical and physical properties of the soil in the table are the test results of soil samples taken from 27 boreholes and were taken from the officially prepared Soil Investigation Reports. Descriptive statistical values of the mechanical and physical properties of the soil samples are given in Table 1.  
Statistical analyses were performed using IBM-SPSS-Statistics-Version 22 software to evaluate the effects of the investigated soil parameters on the bearing capacity and settlement of the soil [62]. Correlation analyses were performed to determine the parameters that significantly affect the bearing capacity and settlement. Correlation analysis is a statistical method used to measure the strength and direction of the relationship between variables. The correlation coefficient, which varies between \(-1\) and \(+1\), measures the linear relationship between two variables regardless of the measurement units. A coefficient \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & **N** & **Range** & **Min.** & **Max.** & \
\begin{tabular}{c} **Mean Std.** \\ **Error** \\ \end{tabular} &
\begin{tabular}{c} **Std.** \\ **Deviation** \\ \end{tabular} & **Variance** \\ \hline Soil Bearing Capacity (MPa) & 27 & 3.76 & 2.22 & 5.98 & 3.5052 & 0.19752 & 1.02635 & 1.053 \\ \hline Settlement (cm) & 27 & 3.55 & 0.00 & 3.55 & 2.2964 & 0.14957 & 0.74783 & 0.559 \\ \hline Excavation Level (m) & 27 & 1.50 & 1.50 & 3.00 & 2.0000 & 0.13868 & 0.72058 & 0.519 \\ \hline Groundwater Level (m) & 27 & 5.00 & 2.00 & 7.00 & 3.9444 & 0.23010 & 1.19561 & 1.429 \\ \hline Unit Volume Weight (g/cm\({}^{3}\)) & 27 & 0.40 & 1.73 & 2.13 & 1.8900 & 0.01963 & 0.10198 & 0.010 \\ \hline Water Content (\%) & 27 & 17.91 & 0.00 & 17.91 & 9.1452 & 0.80688 & 4.19266 & 17.578 \\ \hline Sieve No. 10 (2.0 mm) & 27 & 18.70 & 43.80 & 62.50 & 51.3083 & 1.86562 & 6.46271 & 41.767 \\ \hline Sieve No. 200 (0.074 mm) & 27 & 88.70 & 0.00 & 88.70 & 17.6081 & 3.60490 & 18.73159 & 350.872 \\ \hline Internal Friction Angle (\(\omega\)) & 27 & 20.00 & 0.00 & 20.00 & 12.9384 & 1.28065 & 6.40326 & 41.002 \\ \hline Cohesion Coefficient (MPa) & 27 & 108 & 7 & 115 & 40.87 & 6.370 & 29.877 & 892.620 \\ \hline \end{tabular}
\end{table} 
Table 1: Descriptive statistics of soil test results. close to 0 indicates a weak relationship, while values approaching +1 or \(-1\) indicate strong positive or negative relationships, respectively. The correlation levels between the parameters are summarized in Table 2.  
Multiple linear regression analysis with 95% confidence interval was conducted to estimate the bearing capacity and consolidation behaviour of soil based on the effective parameters identified in the correlation analysis. Multiple linear regression is a statistical technique used to develop a mathematical model that quantifies the effect of multiple independent variables on a single dependent variable, thus allowing the dependent variable to be estimated as a function of the independent variables. Let us assume that + represents the dependent variable and \(x_{1},\ x_{2},\ x_{3},\ldots,\ x_{n}\) represent the independent variables.