Refer again to the data above . Not satisfied with these predictors , we add a predictor to our dataset called Bounce Back . Below is Best Subsets output using this new dataset . Use it to answer Questions 6 - 8. Briefly explain your answers . Best Subsets Regression :Earnings ($) versus DrDist , DrAccu , u. Response is Earnings ($) vars mm-nmmli B S S o a c u n r n d a c D o m e r r S b D A a l B i c G v i a R-Sq R-Sq Mallows s c I e n c R-Sq (adj) (pred) Cp 5 t u R s g k 8.1 7.4 5.9 19.9 997373 X 15.4 14.1 11.1 9.9 969722 X X 19.9 17.9 14.1 5.1 939054 X X X 21.3 18.6 13.6 5.6 934761 X X X X 22.4 19.2 13.1 5.2 931759 X X X X X 22.6 18.6 12.2 7.9 934739 X x X X X x 6. Based on this output , the predictor with the highest correlation in absolute value with Earnings is . (Rem em her to briefly explain your answer.) The absolute value of its correlation with Earnings is 7. By the criterion of Best Subsets Regression , the best model for this dataset uses which predictors ? (Rem ember to briefly explain your answer.) 8. TRUE or FALSE: In the S-prediclor model shown in the table , is the t score of the Bounce Back predictor greater or less than 1 in absolute value ? (Remember to briefly explain your answer.)