Based on the multiple regression analysis output, write the estimated multiple regression equation. 2. Interpret regression coefficients b1 and b2.  3. Interpret the multiple coefficient of determination r-square.  SUMMARY OUTPUT                                   Regression Statistics               Multiple R 0.2799898               R Square 0.0783943               Adjusted R Square 0.0773582               Standard Error 815.92221               Observations 1782                                 ANOVA                   df SS MS F Significance F       Regression 2 100742487 50371243.5 75.66328 0       Residual 1779 1184331979 665729.049           Total 1781 1285074466                                 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 453.2116 54.454876 8.32269998 1.691E-16 346.409336 560.01385 346.40934 560.01385 Planning and Service Area -2.9570645 2.02988334 -1.4567657 0.1453575 -6.938271392 1.0241424 -6.9382714 1.0241424 Participant Key Characteristics Sub-Category 91.438973

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