Regression Statistics o 2 4 7 8 0.001568059 -1.905060771 g -0.0155035011 -0.007135245 10.10377866? 3.161670069 7 SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression 3 Residual Total Intercept exports money Short term interest rate revenue 2 Total loans to households 3 Total loans to business 0.978035096 0.956552649 0.953628308 4.961301335 7 104 111 56359.88807 2559.909137 58919.79721 Coefficien ts Standard Error 33.95667811 0.024776792 -0.002987247 1.084588086 -0.011319373 -0.008600143 0.016024702 31.94481457 2.919719998 0.002848482 0.258796776 0.002109959 0.002228172 0.002518507 8051.412582 24.61451093) t Stat 11.63011458 8.698245691 4.190887165 -5.364735473 -3.8597309 6.362779695 327.100246 p_ value 1.57639+20 5.35841E-14 0.059534422 5.84574E-05 4.93665E-07 0.000197306 5.41547+09 0.002055778 Significance F 8.53262E-68 Lower 95% 28.16676378 0.019128147 -0.006096766 0.571384368 -0.013018691 0.011030409 11.90864233 Upper 95% 39.746592421 0.030425438 0.0001222721 1.597791805 -0.004181595 0.0210189951 51.98098681 Lower 95.0% 28.16676378 0.019128147 -0.006096766 0.571384368 -0.015503501 -0.013018691 0.011030409 11.90864233 Upper 95.0% 39.74659242 0.030425438 0.000122272 1.597791805 -0.007135245 -0.004181595 0.021018995 51.98098681 Public (government) debt to GDP ratio (Public debt divided by GDP) Looking at the above summary output please answer the below questions (e) What can you say about the goodness of fit of the regression in (d)? Please explain. (f) Which independent variables have a significant coefficient in the regression in (d)? Please explain.