Dependent Variable: Y Method: Least Squares Date: 07/27/20 Time: 17:10 Sample: 1 669 Included observations: 669 Variable с X R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) elect one: Coefficient Std. Error 0.087172 0.233503 0.920747 0.329976 2.790343 a. 12146.65 b. 4.267 c. 0.92 d. 18.14. t-Statistic Prob. 0.373323 0.7090 0.0054 0.011538 Mean dependent var 0.010057 S.D. dependent var 4.267419 Akaike info criterion 12146.65 Schwarz criterion -1918.993 Hannan-Quinn criter. 7.786016 Durbin-Watson stat 0.005416 rom the above regression results between Y and X, what is the estimate of error variance? 0.548234 4.289040 5.742880 5.756351 5.748098 1.912093