\begin{center}
\begin{tabular}{lclc}
\toprule
\textbf{Dep. Variable:}    &        y         & \textbf{  R-squared:         } &     0.936   \\
\textbf{Model:}            &       OLS        & \textbf{  Adj. R-squared:    } &     0.934   \\
\textbf{Method:}           &  Least Squares   & \textbf{  F-statistic:       } &     416.4   \\
\textbf{Date:}             & Sun, 29 Dec 2024 & \textbf{  Prob (F-statistic):} &  9.69e-35   \\
\textbf{Time:}             &     21:32:34     & \textbf{  Log-Likelihood:    } &   -327.30   \\
\textbf{No. Observations:} &          60      & \textbf{  AIC:               } &     660.6   \\
\textbf{Df Residuals:}     &          57      & \textbf{  BIC:               } &     666.9   \\
\textbf{Df Model:}         &           2      & \textbf{                     } &             \\
\textbf{Covariance Type:}  &    nonrobust     & \textbf{                     } &             \\
\bottomrule
\end{tabular}
\begin{tabular}{lcccccc}
               & \textbf{coef} & \textbf{std err} & \textbf{t} & \textbf{P$> |$t$|$} & \textbf{[0.025} & \textbf{0.975]}  \\
\midrule
\textbf{const} &      17.8806  &       10.326     &     1.732  &         0.089        &       -2.796    &       38.558     \\
\textbf{x1}    &       0.3875  &        0.688     &     0.563  &         0.576        &       -0.991    &        1.766     \\
\textbf{x2}    &      -0.4945  &        0.027     &   -18.291  &         0.000        &       -0.549    &       -0.440     \\
\bottomrule
\end{tabular}
\begin{tabular}{lclc}
\textbf{Omnibus:}       &  0.223 & \textbf{  Durbin-Watson:     } &    2.169  \\
\textbf{Prob(Omnibus):} &  0.894 & \textbf{  Jarque-Bera (JB):  } &    0.397  \\
\textbf{Skew:}          & -0.106 & \textbf{  Prob(JB):          } &    0.820  \\
\textbf{Kurtosis:}      &  2.662 & \textbf{  Cond. No.          } &     837.  \\
\bottomrule
\end{tabular}
%\caption{OLS Regression Results}
\end{center}

Notes: \newline
 [1] Standard Errors assume that the covariance matrix of the errors is correctly specified.