Regression Statistics Multiple R 0.54820257 R Square 0.30052605 Adjusted R Sq 0.29165591 Standard Erro 19.4422415 Observations 560 ANOVA of SS MS F Significance F Regression 7 89648.3558 12806.908 33.8806414 2.8077E-39 Residual 552 208656.416 378.000754 Total 559 298304.772 Coefficients standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 63.2701108 2.51417275 25.1653793 1.1619E-93 58.3315946 68.2086271 58.3315946 68.2086271 exports -2.214E-06 1.3512E-06 -1.6384796 0.1018915 4.868E-06 4.4022E-07 4.868E-06 4.4022E-07 money -2.833E-07 4.7426E-07 -0.5973222 0.55053723 -1.215E-06 6.4829E-07 -1.215E-06 6.4829E-07 stir -1.203598 0.21706743 -5.5448116 4.5673E-08 -1.6299772 -0.7772188 -1.6299772 -0.7772188 revenue 3.6559E-06 1.3855E-06 2.63867646 0.00855804 9.344E-07 6.3775E-06 9.344E-07 6.3775E-06 thh 9.654E-07 5.6194E-07 1.71798824 0.08635955 -1.384E-07 2.0692E-06 -1.384E-07 2.0692E-06 tbus -3.618E-07 5.4588E-07 0.6627648 0.50775786 -1.434E-06 7.1047E-07 -1.434E-06 7.1047E-07 debtgap 32.5242177 3.19602434 10.1764612 2.0772E-22 26.2463602 38.8020751 26.2463602 38.8020751 (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