p value of coefficients

[AhmedThahir]

Is there a way to get the summary statistics (mainly p values) of coefficients in statsforecast?

The following is from statsmodels

                                OLS Regression Results                                
======================================================================================
Dep. Variable:     CorrectGestureCounter_diff   R-squared:                       0.477
Model:                                    OLS   Adj. R-squared:                  0.249
Method:                         Least Squares   F-statistic:                     2.088
Date:                        Wed, 28 Dec 2022   Prob (F-statistic):              0.105
Time:                                15:29:41   Log-Likelihood:                -73.565
No. Observations:                          24   AIC:                             163.1
Df Residuals:                              16   BIC:                             172.6
Df Model:                                   7                                         
Covariance Type:                    nonrobust                                         
==========================================================================================================
                                             coef    std err          t      P>|t|      [0.025      0.975]
----------------------------------------------------------------------------------------------------------
Intercept                                -24.6404      9.326     -2.642      0.018     -44.410      -4.871
Sex[T.Male]                               -7.3225      3.170     -2.310      0.035     -14.043      -0.602
Glasses[T.Yes]                            -2.4210      2.995     -0.808      0.431      -8.771       3.929
Age                                        0.2957      0.183      1.613      0.126      -0.093       0.684
Experience_using_a_gamepad_1_4             1.8810      1.853      1.015      0.325      -2.047       5.809
Experience_using_a_VR_headset_1_4          0.9559      3.213      0.297      0.770      -5.856       7.768
Experience_using_hand_tracking_1_3        -2.4689      3.633     -0.680      0.506     -10.170       5.232
Experience_using_controllers_in_VR_1_3     2.3592      4.840      0.487      0.633      -7.902      12.620
==============================================================================
Omnibus:                        0.621   Durbin-Watson:                   2.566
Prob(Omnibus):                  0.733   Jarque-Bera (JB):                0.702
Skew:                          -0.277   Prob(JB):                        0.704
Kurtosis:                       2.371   Cond. No.                         205.