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Suppose you have pandas dataframe that includes data columns final and ACT. You use statsmodels to create a results object the estimates the following module using OLS. final = Bo + B1ACT + E The results of the regression are shown in the table. What area of the table represents the standard deviation of the estimates Bo, B1 ? OLS Regression Results Dep. Variable: G final R-squared : H 0. 131 Model: OLS Adj . R-squared: 0. 129 Method: Least Squares F-statistic: 101.8 Date: Sat, 15 Jun 2024 Prob (F-statistic) : 2. 17e-22 Time : 15:27 :10 Log-Likelihood: -1970.6 No. Observations : 680 AIC: 3945. Df Residuals : 678 BIC: 3954. Df Model: Covariance Type: nonrobust A B coef std err C D t EpItI 10. 025 F 0. 975] Intercept 14. 9195 1. 101 13.556 0. 000 12. 758 17.081 ACT 0. 4874 0. 048 10.088 0. 000 0. 393 0. 582 Omnibus : 1. 040 Durbin-Watson: 2. 226 Prob (Omnibus ) : 0. 594 Jarque-Bera (JB) : 1. 131 Skew: -0. 074 Prob ( JB) : 0. 568 Kurtosis : 2. 866 Cond. No. 149. Notac . O B OD OE OC OF