Regression Statistics Multiple R 0.88540099 R Square 0.78393492 Adjusted R Sq 0.76939207 Standard Erro 10.2775839 Observations 112 ANOVA df SS MS F Significance F Regression 7 39857.5702 5693.9386 53.9052071 8.7916-32 Residual 104 10985.388 105.628731 Total 111 50842.9582 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 33.1692005 6.10804846 5.43040887 3.7098E-07 21.0567112 45.2816898 21.0567112 45.2816898 exports 0.05920353 0.01216124 4.86821443 4.0323E-06 0.03508733 0.08331972 0.03508733 0.08331972 money -0.0173952 0.00303977 -5.7225309 1.0198E-07 -0.0234232 0.0113672 0.0234232 0.0113672 stir 1.22508628 0.35254766 3.47495222 0.00074643 0.52597104 1.92420153 0.52597104 1.92420153 revenue 0.01073073 0.00762784 1.4067863 0.16247207 -0.0043955 0.02585702 0.0043955 0.02585702 thh 0.02541259 0.00487748 5.21019227 9.6018E-07 0.01574037 0.03508481 0.01574037 0.03508481 tbus -0.0267575 0.01087254 -2.4610178 0.01550014 0.0483182 -0.0051969 0.0483182 -0.0051969 debtgap 30.6114781 8.65399788 3.53726434 0.00060555 13.4502755 47.7726806 13.4502755 47.7726806 (h) What can you say about the goodness of fit of the regression in (g)? Please explain. (i) Which independent variables have a significant coefficient in the regression in (g)? Please explain