Regression Statistics Multiple R 0.9780351 R Square 0.95655265 Adjusted R Sq 0.95362831 Standard Erro 4.96130133 Observations 112 ANOVA of SS MS F Significance F Regression 7 56359.8881 8051.41258 327.100246 8.5326E-68 Residual 104 2559.90914 24.6145109 Total 111 58919.7972 Coefficients standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 33.9566781 2.91972 11.6301146 1.5764E-20 28.1667638 39.7465924 28.1667638 39.7465924 exports 0.02477679 0.00284848 8.69824569 5.3584E-14 0.01912815 0.03042544 0.01912815 0.03042544 money -0.0029872 0.00156806 -1.9050608 0.05953442 0.0060968 0.00012227 0.0060968 0.00012227 stir 1.08458809 0.25879678 4.19088716 5.8457E-05 0.57138437 1.5977918 0.57138437 1.5977918 revenue -0.0113194 0.00210996 -5.3647355 4.9367E-07 -0.0155035 -0.0071352 -0.0155035 -0.0071352 thh 0.0086001 0.00222817 -3.8597309 0.00019731 0.0130187 0.0041816 0.0130187 0.0041816 tbus 0.0160247 0.00251851 6.36277969 5.4155E-09 0.01103041 0.021019 0.01103041 0.021019 debtgap 31.9448146 10.1037787 3.16167007 0.00205578 11.9086423 51.9809868 11.9086423 51.9809868 (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