OLS Regression Results ============================================================================================================= Dep. Variable: Ventas efectivas de vivienda vertical en preventa R-squared: 0.737 Model: OLS Adj. R-squared: 0.586 Method: Least Squares F-statistic: 4.894 Date: Tue, 05 Aug 2025 Prob (F-statistic): 0.0336 Time: 13:11:47 Log-Likelihood: -78.449 No. Observations: 12 AIC: 166.9 Df Residuals: 7 BIC: 169.3 Df Model: 4 Covariance Type: nonrobust ================================================================================================ coef std err t P>|t| [0.025 0.975] ------------------------------------------------------------------------------------------------ const 4907.4361 2690.382 1.824 0.111 -1454.305 1.13e+04 cuartos_disponibles -0.3996 0.299 -1.334 0.224 -1.108 0.309 PIB_N -8.256e-07 4.35e-06 -0.190 0.855 -1.11e-05 9.45e-06 tasa_referencia -64.4587 35.099 -1.836 0.109 -147.455 18.538 Ocupación_Promedio_Anual (%) 6.9935 11.012 0.635 0.546 -19.046 33.033 ============================================================================== Omnibus: 1.738 Durbin-Watson: 1.622 Prob(Omnibus): 0.419 Jarque-Bera (JB): 0.616 Skew: 0.555 Prob(JB): 0.735 Kurtosis: 3.039 Cond. No. 3.88e+09 ============================================================================== Notes: [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. [2] The condition number is large, 3.88e+09. This might indicate that there are strong multicollinearity or other numerical problems.