OLS Regression Results                            
==============================================================================
Dep. Variable:                     RH   R-squared:                       0.879
Model:                            OLS   Adj. R-squared:                  0.878
Method:                 Least Squares   F-statistic:                     4115.
Date:                Wed, 25 Aug 2021   Prob (F-statistic):               0.00
Time:                        11:59:40   Log-Likelihood:                -20050.
No. Observations:                6269   AIC:                         4.012e+04
Df Residuals:                    6257   BIC:                         4.020e+04
Df Model:                          11                                         
Covariance Type:            nonrobust                                         
=================================================================================
                    coef    std err          t      P>|t|      [0.025      0.975]
---------------------------------------------------------------------------------
const         -1.503e+04   1240.167    -12.118      0.000   -1.75e+04   -1.26e+04
PT08.S1(CO)       0.0148      0.001     14.305      0.000       0.013       0.017
C6H6(GT)         -0.9035      0.075    -12.092      0.000      -1.050      -0.757
PT08.S2(NMHC)    -0.0059      0.002     -2.393      0.017      -0.011      -0.001
PT08.S3(NOx)      0.0015      0.001      1.853      0.064   -8.67e-05       0.003
PT08.S4(NO2)      0.0265      0.001     21.601      0.000       0.024       0.029
PT08.S5(O3)      -0.0011      0.001     -1.945      0.052      -0.002    8.27e-06
T                -2.3549      0.015   -160.240      0.000      -2.384      -2.326
AH               29.5517      0.554     53.337      0.000      28.466      30.638
Year              7.5052      0.618     12.148      0.000       6.294       8.716
Month             1.1679      0.062     18.914      0.000       1.047       1.289
Day               0.0352      0.009      4.040      0.000       0.018       0.052
==============================================================================
Omnibus:                      322.611   Durbin-Watson:                   1.966
Prob(Omnibus):                  0.000   Jarque-Bera (JB):              416.392
Skew:                           0.509   Prob(JB):                     3.82e-91
Kurtosis:                       3.748   Cond. No.                     5.25e+07
==============================================================================

Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 5.25e+07. This might indicate that there are
strong multicollinearity or other numerical problems.