SUMMARY OUTPUT Regression Statistics Multiple R 0.59312594 R Square 0.35179838 Adjusted R Sqi -0.1523584 Standard Erro 6.25836636 Observations 17 ANOVA df SS MS F Significance F Regression 7 191.314637 27.3306625 0.69779555 0.67520542 Residual 9 352.504346 39.1671495 Total 16 543.818983 Coefficients standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 61.9515727 31.8662887 1.94411007 0.08375503 -10.134981 134.038126 -10.134981 134.038126 pop 8.4668E-06 2.3718E-05 0.35697184 0.72933962 4.519E-05 6.21226-05 4.519E-05 6.2122E-05 rconpc 0.48083062 0.36281558 1.32527557 0.21773605 0.3399152 1.30157648 -0.3399152 1.30157648 ly 6.8188686 69.2471027 -0.0984715 0.92371617 -163.4667 149.828961 -163.4667 149.828961 exports 7.0126E-07 9.7532E-07 0.719008 0.49038197 -1.505E-06 2.9076E-06 -1,505E-06 2.9076E-06 debtgap -3.8429982 4.31199844 -0.8912337 0.39600476 -13.597416 5.91141993 -13.597416 5.91141993 expenditure -1.146E-06 1.6196E-06 -0.707435 0.49720469 4.809E-06 2.518E-06 4.809E-06 2.518E-06 hpnom -0.0076236 0.01762296 -0.432597 0.67548846 0.0474895 0.03224227 -0.0474895 0.03224227 (b) What can you say about the goodness of fit of the equation? Please explain. (c) Which independent variables have a significant coefficient in the regression? Please explain