For questions 9-14 refer to the following: In the first table of SAS Output #1, several important values have been replaced with the letters A-G. You need to find these missing values. 9. Model Degrees of Freedom (labeled A) (0.5 point) a. C. AWN e . 10. Error Degrees of Freedom (labeled B) (0.5 point) a. 92 b. 93 c. 94 95 e. 96 2 11. Sum of Square Error (labeled C) (0.5 point) a. 55.88 b. 494.74 c. 950.15 d. 89314.02 e. 92569.10 12. Mean Square Model (labeled D) (0.5 point) a. 325.51 b. 406.89 c. 542.51 d. 813.77 e. 1627.54 13. Mean Square Error (labeled E) (0.5 point) a. 930.35 b. 940.15 C. 950.15 d. 960.37 e. 970.80 14. t test statistic (labeled F) (0.5 point) a. -11.5 b. -0.68 C. 0.46 d. 0.50 e. 0.5715. What is the value of the test statistic for the omnibus null hypothesis Ho? (1 point) a. -0.09 b. 0.57 C. 0.64 d. 0.76 e. 3.33 16. What is the p-value corresponding to the test statistic in question (15)? (0.5 point) a. 0.05 b. 0.36 c. 0.50 d. 0.64 e. 0.93 17. Using a 0.05 significance level, what decision and conclusion should you make regarding the omnibus null hypothesis? (1 point) a. Because p-value 0.05, we fail to reject Ho and conclude that the mean ease of intubation score does not differ significantly between patients in the four Mallampati score categories. d. Because p-value > 0.05, we fail to reject Ho and conclude that patients in all four Mallampati score categories have a significantly different mean ease of intubation score from one another. e. Because p-value > 0.05, we reject Ho and conclude that the mean ease of intubation score does differ significantly between patients in the four Mallampati score categories. 18. Assuming you rejected the omnibus null hypothesis in question 17 (this may or may not be true), what test should you conduct next? (1 point) a. Tukey test b. Bonferroni test c. Multiple comparisons test d. Any of the above are appropriate e. None of the above are appropriate 19. What is the estimated mean ease of intubation score for each of the four Mallampati score categories? (1 point) a. M1 = -1.39, M2 = -7.87, /3 = -11.5, /4 = 0 b. yi = -1.39, y2 = -7.87, y3 = -11.5, y4 = 0 C. M1 = -1.39, M2 = -7.87, M3 = -11.5, /4 = 51.25 d. yi = -1.39, y2 = -7.87, 3 = -11.5, y4 = 51.25 e. M1 = 49.86, M2 = 43.38, M3 = 39.75, /4 = 51.25 f. yi = 49.86, y2 = 43.38, y3 = 39.75, y4 = 51.2520. Do any of the four Mallampati score categories differ significantly in their mean ease of intubation score? If so, which one(s) differ? (1 point) a. Yes, 12 # 14 b. Yes, 13 # 14 c. Both a and b d. No, the mean ease of intubation score does not differ significantly between the four Mallampati score categories. e. Cannot be determined from the given information. 21. What types of variation, if any, are being analyzed in this problem? (1 point) a. We are comparing the mean ease of intubation score for four groups, which has nothing to do with variation. b. Variation in ease of intubation score between Mallampati score categories c. Variation in ease of intubation score within Mallampati score categories d. Both b and c e. None of the above 22. Is there a reference cell in this problem? If so, what is it? (1 point) a. Yes, the reference cell is Mallampati score category 1. b. Yes, the reference cell is Mallampati score category 2. c. Yes, the reference cell is Mallampati score category 3. d. Yes, the reference cell is Mallampati score category 4. e. Yes, there is a reference cell, but the group cannot be determined with the given output. f. No, there is no reference cell.SAS Output #1 Sum of Source DF Squares Mean Square F Value ex > F Model A 1627.54474 D G 0.6355 Error B C E Corrected Total 97 90941.56122 R-Square Coeff Var Root MSE ease Mean 0.017897 68.08204 30.82449 45.27551 Source F Type Ill SS Mean Square F Value PR> F Mallarnosti 3 1627.544741 542.514914 G 0.6355 Standard Parameter Estimate Error t Value ex > It| Intercept 51.25000000 B 15.41224441 3.33 0.0013 Mallyvoati 1 1.39285714 B 16.26912399 -0.09 0.9320 Mallarpati 2 7.86538462 B 16.18332709 0.49 0.6281 Mallarpati 3 -11.50000000 B 16.88326785 F 0.4975 Mallampati 4 0.00000000 B Least Squares Means Adjustment for Multiple Comparisons: Tukey-Kramer LSMEAN MEVampatj ease LSMEAN Number 49.8571429 43.3846154 39.7500000 AWN 51.2500000 Least Squares Means for effect Mallargati ex> It| for HO: (SMean()=(SMeani) Dependent Variable: ease 1 2 3 0.8039 0.6473 0.9998 0.8039 0.9734 0.9620 0.6473 0.9734 0.9040 0.9998 0.9620 0.9040