Model Summary Mode Adjusted R Std. Error of R R Square Square the Estimate 655 429 405 186.685 a. Predictors: (Constant), Income, BWeight ANOVA Sum of Model Squares Mean Square F Sig 1 Regression 1232039.007 616019.503 17.676 .0003 Residual 1638018.993 47 34851.468 Total 2870058.000 49 a. Predictors: (Constant), Income, BWeight b. Dependent Variable: SAT Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig (Constant) 733.404 157.184 4.666 000 BWeight 11.428 20.310 063 563 576 Income 001 000 662 5.936 000 a. Dependent Variable: SAT (2pts) 28. According to the SPSS output above, was the regression significant? How do you know this? (2pts) 29. According to the SPSS output above, are both birth weight and income significant predictors of SAT score? How do you know this? (2pts) 30. According to the SPSS output above, what percentage of SAT is accurately being predicted by this regression model