Lecture 27
In class we discussed variance inflation factors. Then we discusses
the Bayesian way to incorportate model uncertaintly in your
parameter estimates using the sex discrimination salary
case study data from the Statistical Sleuth text.
BSAL SAL77 SEX SENIOR AGE EDUC EXPER
5040 12420.0 MALE 96 329 15 14.00
6300 12060.0 MALE 82 357 15 72.00
6000 15120.0 MALE 67 315 15 35.50
6000 16320.0 MALE 97 354 12 24.00
6000 12300.0 MALE 66 351 12 56.00
6840 10380.0 MALE 92 374 15 41.50
8100 13980.0 MALE 66 369 16 54.50
6000 10140.0 MALE 82 363 12 32.00
6000 12360.0 MALE 88 555 12 252.00
6900 10920.0 MALE 75 416 15 132.00
6900 10920.0 MALE 89 481 12 175.00
5400 12660.0 MALE 91 331 15 17.50
6000 12960.0 MALE 66 355 15 64.00
6000 12360.0 MALE 86 348 15 25.00
5100 8940.0 FEMALE 95 640 15 165.00
4800 8580.0 FEMALE 98 774 12 381.00
5280 8760.0 FEMALE 98 557 8 190.00
5280 8040.0 FEMALE 88 745 8 90.00
4800 9000.0 FEMALE 77 505 12 63.00
4800 8820.0 FEMALE 76 482 12 6.00
5400 13320.0 FEMALE 86 329 15 24.00
5520 9600.0 FEMALE 82 558 12 97.00
5400 8940.0 FEMALE 88 338 12 26.00
5700 9000.0 FEMALE 76 667 12 90.00
3900 8760.0 FEMALE 98 327 12 0.00
4800 9780.0 FEMALE 75 619 12 144.00
6120 9360.0 FEMALE 78 624 12 208.50
5220 7860.0 FEMALE 70 671 8 102.00
5100 9660.0 FEMALE 66 554 8 96.00
4380 9600.0 FEMALE 92 305 8 6.25
4290 9180.0 FEMALE 69 280 12 5.00
5400 9540.0 FEMALE 66 534 15 122.00
4380 10380.0 FEMALE 92 305 12 0.00
5400 8640.0 FEMALE 65 603 8 173.00
5400 11880.0 FEMALE 66 302 12 26.00
4500 12540.0 FEMALE 96 366 8 52.00
5400 8400.0 FEMALE 70 628 12 82.00
5520 8880.0 FEMALE 67 694 12 196.00
5640 10080.0 FEMALE 90 368 12 55.00
4800 9240.0 FEMALE 73 590 12 228.00
5400 8640.0 FEMALE 66 771 8 228.00
4500 7980.0 FEMALE 80 298 12 8.00
5400 11940.0 FEMALE 77 325 12 38.00
5400 9420.0 FEMALE 72 589 15 49.00
6300 9780.0 FEMALE 66 394 12 86.50
5160 10680.0 FEMALE 87 320 12 18.00
5100 11160.0 FEMALE 98 571 15 115.00
4800 8340.0 FEMALE 79 602 8 70.00
5400 9600.0 FEMALE 98 568 12 244.00
4020 9840.0 FEMALE 92 528 10 44.00
4980 8700.0 FEMALE 74 718 8 318.00
5280 9780.0 FEMALE 88 653 12 107.00
5700 8280.0 FEMALE 65 714 15 241.00
4800 8340.0 FEMALE 87 647 12 163.00
4800 13560.0 FEMALE 82 338 12 11.00
5700 10260.0 FEMALE 82 362 15 51.00
4380 9720.0 FEMALE 93 303 12 4.50
4380 10500.0 FEMALE 89 310 12 0.00
5400 10680.0 MALE 88 359 12 38.00
5400 11640.0 MALE 96 474 12 113.00
5100 7860.0 MALE 84 535 12 180.00
6600 11220.0 MALE 66 369 15 84.00
5100 8700.0 MALE 97 637 12 315.00
6600 12240.0 MALE 83 536 15 215.50
5700 11220.0 MALE 94 392 15 36.00
6000 12180.0 MALE 91 364 12 49.00
6000 11580.0 MALE 83 521 15 108.00
6000 8940.0 MALE 80 686 12 272.00
6000 10680.0 MALE 87 364 15 56.00
4620 11100.0 MALE 77 293 12 11.50
5220 10080.0 MALE 85 344 12 29.00
6600 15360.0 MALE 83 340 15 64.00
5400 12600.0 MALE 78 305 12 7.00
6000 8940.0 MALE 78 659 8 320.00
5400 9480.0 MALE 88 690 15 359.00
6000 14400.0 MALE 96 402 16 45.50
5700 10620.0 FEMALE 88 410 15 61.00
5400 10320.0 FEMALE 78 584 15 51.00
4440 9600.0 FEMALE 97 341 15 75.00
6300 10860.0 FEMALE 84 662 15 231.00
6000 9720.0 FEMALE 69 488 12 121.00
5100 9600.0 FEMALE 85 406 12 59.00
4800 11100.0 FEMALE 87 349 12 11.00
5100 10020.0 FEMALE 87 508 16 123.00
5700 9780.0 FEMALE 74 542 12 116.50
5400 10440.0 FEMALE 72 604 12 169.00
5100 10560.0 FEMALE 84 458 12 36.00
4800 9240.0 FEMALE 84 571 16 214.00
6000 11940.0 FEMALE 86 486 15 78.50
4380 10020.0 FEMALE 93 313 8 7.50
5580 7860.0 FEMALE 69 600 12 132.50
4620 9420.0 FEMALE 96 385 12 52.00
5220 8340.0 FEMALE 70 468 12 127.00