11.36 NOW WORK [Data Set: SATMAT] STATE MATH SAT SCORES. Refer to the simple linear regression relating y = 2019 Math SAT scores to x = 2017 Math SAT scores, Exercise 11.19 lD. Refer, again, to the StatCrunch printout of the analysis here Q. a. Locate the values of SSE, 32, and s on the printout. b. Give a practical interpretation of the value of S. 11.19 NOW WORK [Data Set: SATMAT] STATE MATH SAT SCORES. Refer to the data on average state Math SAT scores for 2017 and 2019, Exercise 2.27. The first five observations and last two observations in the file are reproduced in the next table. In Exercise 2.128 , you examined the relationship between the 2017 Math SAT scores and the 2019 Math SAT scores with a scatterplot. STATE Math 2019 Math 2017 Alabama 560 572 Alaska 541 533 Arizona 565 553 Arkansas 559 594 California 531 524 Wisconsin 648 649 Wyoming 615 604 Simple linear regression results: Dependent Variable: MATH2019 Independent Variable: MATH2017 MATH2019 = 5.1556995 + 0.98232665 MATH2017 Sample size: 51 R (correlation coefficient) = 0.90247814 R-sq = 0.81446679 Estimate of error standard deviation: 22.316967 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept 5.1556995 37.429535 #0 49 0.13774415 0.891 Slope 0.98232665 0.066977977 #0 49 14.666413