Model #1: The Reduced Model plaza az (Sometimes called the baseline model, null model, constrained model) ANOVAb Sum of Model Squares df Mean Square F Sig. 1 Regression Residual 49619.239 3 16539.746 76.019 .000 1198390.133 5508 217.573 Total 1248009.372 5511 a. Predictors: (Constant), female 0=man, 1=woman, his ris Hispanic, nhb r is non- Hispnaic black b. Dependent Variable: hours hours r usually works Coefficients Unstandardized Coefficients Standardized Coefficients (Constant) Model 1 nhb r is non-Hispnaic black B Std. Error Beta t Sig. 41.025 .351 116.861 .000 -1.376 .452 -.043 -3.042 .002 his r is Hispanic -1.325 .527 -.036 -2.515 .012 female 0=man; 1=woman -5.819 .397 -193 -14.641 .000 a. Dependent Variable: hours hours r usually works Based on the reduced model answer these questions: 1. Write out the regression model for the SPSS output. 2. Interpret the unstandardized coefficients. 3. Interpret the intercept (i.e., constant). 4. Calculate and interpret the R-squared statistic.