For questions 1-5, examine the computer output of the five different models provided for you in the separate packet labeled SAS Output #1-SAS Output #5. Match the output with the most appropriate analysis. You may select each letter (method) more than once, once, or not at all. (1 point each) 1. SAS Output #1 a. Multiple linear regression 2. SAS Output #2 b. ANCOVA 3. SAS Output #3 c. One-way ANOVA 4. SAS Output #4 d. Two-way ANOVA with an interaction 5. SAS Output #5 e. Two-way ANOVA without an interactionSAS Output #1 Sum of Source DF Squares Mean Square F Value Pr.> F Model A 1627.54474 D G 0.6355 rror B C E Corrected Total 97 90941.56122 R-Square Coeff Var Root MSE ease Mea 0.017897 68.08204 30.82449 45.27551 Source DF Type III SS Mean Square F Value er > F Mallampati 3 1627.544741 542.514914 G 0.6355 Standard Parameter Estimate Error t Value Pr > It| Intercept 51.25000000 B 15.41224441 3.33 0.0013 Mallampati 1 -1.39285714 B 16.26912399 -0.09 0.9320 Mallamnati 2 -7.86538462 B 16.18332709 -0.49 0.6281 Mallampati 3 -11.50000000 B 16.88326785 F 0.4975 Mallampati 4 0.00000000 B Least Squares Means Adjustment for Multiple Comparisons: Tukey-Kramer LSMEAN Mallampati ease LSMEAN Number 49.8571429 43.3846154 DUNK 39.7500000 51.2500000 Least Squares Means for effect Mallampati Pr> It| for HO: LSMean(i)=LSMean(i Variable: ease 1 2 3 0.8039 0.6473 0.9998 0.8039 0.9734 0.9620 AWNY 0.6473 0.9734 0.9040 0.9998 0.9620 0.9040SAS Output #2 Sum of Source DF Squares Mean Square F Value Pr > F Model 3 11088.61173 3696.20391 4.35 0.0065 Error 94 79852.94949 849.49946 Corrected Total 97 90941.56122 R-Square Coeff Var Root MSE ease Mean 0.121931 64.37514 29.14617 45.27551 Source OF Type Ill SS Mean Square F Value er > F grp 1 1009.374636 1009.374636 1.19 0.2785 gender 1 5434.159912 5434.159912 6.40 0.0131 grp *gender 1 1280.540280 1280.540280 1.51 0.2226 Standard Parameter Estimate Error t Value Pr> It| Intercept 59.54545455 B 8.78790213 6.78 <.0001 grp b gender bsas output sum of source df squares mean square f value pr> F Model 2 9808.07145 4904.03572 5.74 0.0044 Error 95 81133.48978 854.03673 Corrected Total 90941.56122 R-Square Coeff Var Root MSE ease Mean 0.107850 64.54683 29.22391 45.27551 Source DF Type III SS Mean Square F Value er > F grp 1 4360.010225 4360.010225 5.11 0.0261 gender 5053.676892 5053.676892 5.92 0.0169 Standard Parameter Estimate Error t Value Pr > It| Intercept 66.00920245 B 7.05515040 9.36 <.0001 grp b gender least squares means adjustment for multiple comparisons: tukey-kramer ho:lsmean1="LSMean2" ease lsmean pr> It| 43.7392638 0.0261 57.0930470 Least Squares Means Adjustment for Multiple Comparisons: Tukey-Kramer HO:LSMean1= LSMean2 gender ease LSMEAN Pr > It| 41.5000000 0.0169 H O 59.3323108SAS Output #4 Sum of Source DF Squares Mean Square F Value Pr > F Model 4 33339.51407 8334.87852 13.46 <.0001 error corrected total r-square coeff var root mse ease mean source of type ill ss square f value er> F grp 1 6610.69441 6610.69441 10.67 0.0015 age 1176.34663 1176.34663 1.90 0.1715 gender 1 742.49208 742.49208 1.20 0.2764 view 1 21482.39385 21482.39385 34.68 <.0001 standard parameter estimate error t value pr> It| Intercept 38.27651851 B 12.83689741 2.98 0.0037 grp 0 -16.63625463 B 5.09224749 -3.27 0.0015 grp 1 0.00000000 B age 0.27606039 0.20031521 1.38 0.1715 gender 0 -7.19514460 B 6.57159966 -1.09 0.2764 gender 1 0.00000000 B view 0 39.60239485 B 6.72446283 5.89 <.0001 view bsas output sum of source df squares mean square f value pr> F Model 2 4523.87346 2261.93673 2.50 0.0877 Error 93 84198.62654 905.36158 Corrected Total 95 88722.50000 R-Square Coeff Var Root MSE ease Mean 0.050989 66.67973 30.08923 45.12500 Source DF Type Ill SS Mean Square F Value Pr> F age 1 3721.464262 3721.464262 4.11 0.0455 BMI 1 161.609809 161.609809 0.18 0.6736 Standard Parameter Estimate Error t Value Pr> |t| Intercept 31.78710587 30.64585746 1.04 0.3023 age 0.49005446 0.24171213 2.03 0.0455 BMI -0.25560020 0.60497630 -0.42 0.6736