I need to answer the following questions based on a proc univariate normal plot and need  help asap. Can anyone help? a. Violation of equal mean assumption using a residual plot . b. Violation of equal variance assumption using a residual plot. c. Violation of normality assumption  Using the normal probability plot,  Using the box plot  Using a stem and leaf plot  conduct a statistical test (Ho, Ha, TS, pvalue and conclusion) d. Flag potential outliers looking at studentized and jackknife residuals. (State the critical value you used ) What does this mean? e. Flag any high leverage points. (State the critical value you used) . What does this mean? f. Look at Cook’s D values and make conclusions. State critical value. g. Make a conclusion about the PRESS statistic. ... View more

options linesize=80; data; input ENGINE $ SHAFTS RPM CPRATIO INLET-TEMP EXH-TEMP AIRFLOW POWER HEATRATE; if ENGINE='Traditional' then dummy=1; if ENGINE= ‘Advanced’ then dummy=2; else dummy=0; RPMCPRATIO=RPM*CPRATIO; RPMRPM=RPM*RPM; CPRCPR=CPRATIO*CPRATIO; datalines; Traditional 1 27245 9.2 1134 602 7 1630 14622 Traditional 1 14000 12.2 950 446 15 2726 13196 Traditional 1 17384 14.8 1149 537 20 5247 11948 Traditional 1 11085 11.8 1024 478 27 6726 11289 Traditional 1 14045 13.2 1149 553 29 7726 11964 Traditional 1 6211 15.7 1172 517 176 52600 10526 Traditional 1 6210 17.4 1177 510 193 57500 10387 Traditional 1 3600 13.5 1146 503 315 89600 10592 Traditional 1 3000 15.1 1146 524 375 113700 10460 Traditional 1 3000 15.0 1171 525 514 164300 10086 Traditional 1 18000 12.7 1038 525 11 2000 14628 Traditional 1 11140 9.1 1038 523 25 5223 13396 Traditional 1 16630 15.0 1232 571 19 5500 11726 Traditional 2 7900 15.6 1077 482 47 11700 11252 Traditional 1 5100 10.0 963 485 123 26555 12449 Traditional 1 5160 12.3 1135 542 144 42170 11030 Traditional 1 3600 12.6 1113 534 295 86650 10787 Traditional 1 3000 12.3 1124 541 410 124700 10603 Traditional 1 3000 14.2 1204 553 515 172985 10144 Traditional 1 14000 15.9 1177 521 27 6930 11674 Traditional 1 3660 14.6 1135 526 56 14838 11510 Traditional 1 5400 15.3 1149 514 172 49500 10946 Traditional 1 3600 14.2 1141 526 362 109370 10508 Traditional 1 3600 11.0 1149 544 354 108719 10604 Traditional 1 3600 14.2 1177 525 378 120500 10270 Traditional 1 3000 14.2 1116 511 448 132220 10529 Traditional 1 3000 11.1 1149 537 500 157010 10360 Traditional 1 22516 6.6 899 512 7 1210 14796 Traditional 1 14950 9.7 916 444 19 3515 12913 Traditional 1 14950 10.7 1054 517 19 4600 12270 Traditional 1 14950 12.0 1093 513 22 5500 11842 Traditional 1 14950 15.0 1121 490 27 7520 10656 Traditional 2 8568 16.2 1066 464 39 9286 11360 Traditional 2 8568 17.6 1104 487 42 10685 11136 Traditional 1 11220 15.8 1121 493 49 13500 10814 Traditional 1 4473 8.9 960 517 158 32776 13523 Traditional 1 3600 12.4 1079 515 311 81600 11289 Traditional 1 3000 12.5 1041 490 400 100500 11183 Traditional 2 10400 15.0 1057 479 26 6844 10951 Advanced 1 6600 20.0 1288 546 120 43000 9722 Advanced 1 5100 14.8 1288 590 204 70905 10481 Advanced 1 3600 15.5 1327 599 448 174000 9812 Advanced 1 3600 18.5 1371 626 445 186600 9669 Advanced 1 3000 14.6 1327 599 648 259670 9643 Advanced 1 3000 23.2 1427 566 685 282000 9115 Advanced 1 3000 23.2 1427 621 685 331000 9115 Advanced 1 7280 14.3 1271 556 49 13680 11588 Advanced 1 7280 14.6 1271 556 88 27010 10888 Advanced 1 3600 16.0 1343 607 453 185400 9738 Advanced 1 3600 20.0 1427 596 567 254000 9295 Advanced 1 3000 17.0 1343 586 651 270300 9421 Advanced 1 3000 21.0 1427 587 737 334000 9105 Advanced 1 5400 16.1 1288 531 188 62300 10233 Advanced 1 5400 16.2 1310 589 187 68000 10186 Advanced 1 3600 16.0 1288 551 425 153600 9918 Advanced 1 3600 16.9 1343 577 440 182000 9209 Advanced 1 3600 15.0 1349 590 450 186500 9532 Advanced 1 3000 14.0 1260 585 510 189000 9933 Advanced 1 3600 19.2 1427 594 550 253000 9152 Advanced 1 3000 17.0 1316 584 642 265540 9295 Aeroderiv 2 33000 6.9 888 513 3 486 16243 Aeroderiv 2 30000 8.5 1004 561 4 806 14628 Aeroderiv 2 18910 14.0 1066 532 8 1845 12766 Aeroderiv 3 3600 35.0 1288 448 152 57930 8714 Aeroderiv 3 3600 20.0 1160 456 84 25600 9469 Aeroderiv 2 16000 10.6 1232 560 14 3815 11948 Aeroderiv 1 14600 13.4 1077 536 20 4942 12414 proc reg; model HEATRATE = RPM CPRATIO RPMCPRATIO RPMRPM CPRCPR/; output out=new  student=stud cookd=cook h=lever r=resid; proc print; proc univariate normal plot; var resid; run; Thank you!! ... View more