Based on the following table of results obtained by OLS for a structural time series with level data. Do you think the model is good or is there a suspicion of doing a spurious regression? in case of the latter, indicate based on what it considers to be spurious Dependent Variable: PIB Method: Least Squares (Gauss-Newton / Marquardt steps) Date: 03/02/21 Time: 16:23 Sample: 1 88 Included observations: 88 PIB =C(1)+C(2)*IPD Coefficient Std. Error t-Statistic Prob. C(1) C(2) 177.5169 51.66695 3.435793 0.0009 1.318508 0.018218 72.37426 0.0000 Mean dependent var S.D. dependent var R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) 0.983847 0.983659 80.37884 Akaike info criterion 3865.094 628.7855 11.63384 11.69015 11.65653 0.815770 555625.2 Schwarz criterion -509.8891 Hannan-Quinn criter. 5238.034 Durbin-Watson stat 0.000000