Regression Statistics Multiple R 0.998006 R Square 0.996016 6 Adjusted F 0.995387 Standard E 8.516445 8 Observation 23 9 10 ANOVA 11 of SS MS F |ignificance F 12 Regression 3 344493 114831 1583.224 5.76E-23 13 Residual 19 1378.067 72.52984 14 Total 22 345871 15 16 Coefficientsandard Ern t Stat P-value Lower 95% Upper 95% ower 95.09upper 95.0% 17 Intercept 4.260817 84.58544 0.050373 0.960351 -172.7785 181.3002 -172.7785 181.3002 18 GasP -1.94008 0.689523 -2.813657 0.011089 -3.383268 -0.496893 -3.383268 -0.496893 19 PublicTP 471.9966 25.65211 18.39991 1.44E-13 418.3061 525.687 418.3061 525.687 20 Reallnc 0.17767 0.016265 10.9233 1.25E-09 0.143626 0.211713 0.143626 0.211713 21 22 provide a brief description of the regression 23 coefficients and what they mean, take particular note of the parameter signs in terms 24 of 25 economic consistency. Looking at the t-stats and p-values, are the estimated 26 coefficients 27 statistically significant? Also, discuss the goodness of fit of the overall model, as 28