You are an econometrician working in the Ministry of Finance in Trinidad and Tobago and using a database consisting of 108 monthly observations on automobile accidents for Trinidad and Tobago between January 2011 and December 2019, you estimate the following model: log( totacc,) = Bo+ Bit+ B2feb, + Bzmar,. + B12dec, + µ. where totacc is the total number of accidents, t is time (measured in months), and feb, mar,, dec, are dummy variables indicating whether time period t corresponds to the appropriate month. You obtain the following OLS results: Source I df MS Number of obs 108 F( 12, 95) Model I Residual | 1.00244071 .255496765 12 95 .083536726 .00268944 31.06 0.0000 0.7969 Prob > F R-squared Adj R-squared - 0.7712 .05186 Total I 1.25793748 107 .011756425 Root MSE ltotacc I Coef. Std. Err. t P>|t| [95 Conf. Interval] .0027471 .0001611 17.06 0.000 .0024274 .0030669 -.0426865 .0798245 .0184849 .0320981 .0201918 .0375826 .0244475 .0244491 .0244517 .0244554 .0244602 .024466 .0244729 .0244809 .0244899 -1.75 3.26 feb | 0.084 0.002 -.0912208 .0058479 .031287 -.030058 .1283621 .0670277 mar | 0.76 0.452 0.193 apr | may I jun I jul I aug I sep I oct I -.0164521 -.0283678 -.0109886 .0053981 1.31 0.83 .0806483 .0687515 .0861538 .1025679 .0909617 0.411 1.54 0.128 .053983 .042361 2.21 1.73 3.35 0.030 -.0062397 .0334949 .02264 0.087 0.001 .0821135 .0712785 .130732 .0244999 nov | dec I .1199171 .1448178 2.91 0.005 .0961572 10.46857 .0245111 .0190028 3.92 550.89 0.000 0.000 .0474966 10.43084 cons I 10.50629 The team meeting will be held in 3 days from the date of the assignment and because of the limitation of time the Chief econor iet has given vou the following quidelines: