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.
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