Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate .342 .117 .116 14.14575 a. Predictors: (Constant), educmc education level: grand mean centered, female 0=man; 1=woman, ushock r expirenced unmenployment t-1, nhb r is non-Hispnaic black, his r is Hispanic ANOVAb Sum of Model Squares df Mean Square F Sig 1 Regression Residual 146246.408 5 29249.282 146.172 .000 1101762.964 5506 200.102 Total 1248009.372 5511 a. Predictors: (Constant), educmc education level: grand mean centered, female 0=man, 1=woman, ushock r expirenced unmenployment t-1, nhb r is non-Hispnaic black, his r is Hispanic b. Dependent Variable: hours hours r usually works Coefficients Unstandardized Coefficients Standardized Coefficients Model B Std. Error Beta t Sig. 1 (Constant) 41.505 .359 115.601 .000 nhb r is non-Hispnaic black - 256 .439 -.008 -.584 .559 his r is Hispanic -,554 .514 -.015 -1.077 .282 female 0=man; 1=woman -6.107 382 -.203 -15.986 .000 ushock r expirenced -12.336 .605 -.260 -20.396 .000 unmenployment t-1 educmc education level: 539 088 grand mean centered a. Dependent Variable: hours hours r usually works Based on both the reduced and the complete model answer these questions: 5. Interpret the unstandardized coefficients for education and unemployment. 6. Compare the complete model to the reduced model using an F-test. Does the complete model add explanatory power above and beyond the reduced model?