WR Inc.

WR Inc. is a (ficticous) company. It recently did a survey of all its employees, asking them to fill out the following questionnaire:

1) I am: Male          Female    

2) My annual Income is: $_________

3) My job level is: _________ (according to my most recent contract)

4) On a scale of 1-5 (5 = best) my satisfaction with my job is ______

5) I have been working ____ years at WR Inc.

6) I have to travel ____ miles from my home to my job

Here is the dataset with the replies:

Employee ID number Gender Income Job Level Satisfaction Years Distance
1045 Female 28400 7 5 11 1.7
1149 Male 31800 1 1 8 0.6
1168 Male 62300 6 5 27 5.0
1282 Male 42600 3 4 17 2.1
1331 Male 43900 3 3 16 1.3
1355 Female 11300 1 3 0 0.4
1359 Male 25400 3 1 0 3.3
1377 Female 24100 4 3 11 7.3
1389 Male 26600 3 3 11 1.4
1394 Female 30200 1 1 21 0.1
1412 Male 34500 3 5 9 0.6
1450 Male 36900 2 1 10 3.7
1451 Female 35500 2 3 15 0.9
1462 Male 26700 1 5 11 5.8
1475 Male 35100 2 1 12 1.9
1497 Female 32500 3 1 4 0.1
1503 Male 38600 2 1 18 0.4
1509 Male 40900 2 2 22 2.5
1543 Male 32600 1 2 3 2.8
1558 Female 43300 2 4 19 3.0
1570 Male 73700 6 4 21 2.5
1602 Male 58500 4 5 19 0.0
1612 Female 60600 5 5 31 8.9
1623 Male 39000 2 5 14 0.4
1636 Male 21500 3 1 10 6.7
1638 Female 34000 2 1 10 3.8
1651 Male 31600 1 3 10 0.2
1657 Female 30400 3 2 20 2.7
1681 Male 80300 6 2 31 0.6
1695 Male 39100 7 4 11 5.1
1770 Female 23300 2 5 10 0.1
1775 Male 25900 1 5 11 2.0
1777 Male 58600 6 4 19 1.4
1791 Male 49000 2 4 20 0.3
1876 Female 34900 1 3 15 0.6
1879 Male 40200 4 5 14 3.4
1891 Female 47500 4 4 17 0.7
1922 Male 56400 6 5 21 1.3
1949 Male 29300 2 3 12 1.5
1962 Male 44100 3 5 4 0.6
2019 Female 87200 6 4 30 6.3
2028 Male 43900 5 5 13 0.1
2085 Male 27400 2 5 6 1.8
2124 Male 28600 7 4 10 2.6
2137 Female 27100 1 1 17 1.8
2147 Female 22600 1 3 8 1.3
2149 Male 69500 4 5 27 6.8
2161 Male 49700 3 2 18 3.1
2180 Female 44900 4 5 20 2.1
2199 Male 55900 5 3 22 2.9
2210 Male 25500 5 3 17 0.9
2227 Male 39300 2 2 5 1.1
2281 Male 25200 3 2 19 0.1
2330 Male 37600 3 5 14 0.7
2336 Female 32700 2 3 16 0.2
2346 Male 43300 3 5 11 6.2
2352 Male 29800 1 1 4 7.1
2361 Male 37600 4 5 18 0.8
2363 Male 23400 1 1 7 2.0
2375 Female 61600 3 2 26 0.8
2380 Male 48400 3 5 12 0.7
2413 Male 53400 3 5 22 0.3
2439 Female 25400 4 5 14 2.5
2445 Female 35300 2 1 9 3.5
2452 Male 38200 2 1 9 5.4
2472 Female 52200 5 5 16 1.9
2489 Female 31300 2 5 6 0.1
2507 Male 28200 2 2 5 3.2
2511 Male 42200 2 2 23 6.4
2518 Male 45300 3 4 14 0.0
2524 Male 27300 1 2 11 4.4
2558 Male 39600 2 5 4 1.2
2576 Female 43900 3 4 16 0.8
2577 Male 30400 1 1 10 1.1
2583 Female 46800 2 3 22 1.0
2586 Female 37600 6 5 19 0.7
2588 Female 49900 5 3 22 2.2
2591 Male 50800 5 1 19 1.0
2629 Female 29500 3 5 17 0.8
2643 Female 38800 5 4 20 0.4
2648 Male 36600 2 3 11 0.9
2660 Male 50000 3 5 12 10.0
2673 Male 29400 3 3 12 0.6
2695 Male 27800 2 5 14 1.4
2697 Female 22100 1 5 11 1.1
2705 Male 34200 6 3 14 2.6
2718 Male 30800 1 5 8 5.9
2733 Female 57000 5 1 28 0.3
2747 Male 26700 1 4 8 2.9
2749 Male 39200 2 4 16 0.1
2804 Male 30500 1 5 16 0.7
2819 Male 35700 6 5 8 7.7
2833 Female 25900 3 3 4 0.9
2848 Male 35300 4 2 17 2.7
2877 Female 42800 3 4 8 1.0
2880 Male 25400 1 2 12 0.2
2891 Male 35200 1 1 17 6.2
2931 Female 56000 4 2 20 4.1
2948 Male 37500 3 5 14 1.7
2977 Male 30200 2 5 7 2.0
3001 Female 33800 2 2 10 0.1
3016 Male 44300 3 5 29 15.1
3038 Male 36400 4 5 17 4.7
3057 Female 34400 1 2 18 0.8
3069 Male 31600 1 3 9 1.5
3143 Female 31200 1 1 7 2.1
3152 Male 56600 4 2 22 0.4
3153 Male 53600 4 4 17 2.6
3155 Male 28900 2 5 2 6.4
3161 Female 78500 5 1 42 2.0
3163 Female 22600 1 1 0 0.1
3170 Male 52200 4 2 15 0.1
3188 Male 27100 3 5 3 0.1
3195 Female 48200 5 5 12 1.7
3214 Male 65400 5 5 25 0.2
3216 Female 52900 4 5 21 2.1
3220 Male 39300 4 5 24 0.2
3234 Male 60500 5 2 25 1.0
3239 Male 35000 3 3 9 1.8
3242 Male 50400 2 3 17 1.9
3254 Female 80800 6 5 35 3.2
3275 Female 28000 2 3 2 2.8
3295 Male 37500 2 5 0 4.9
3314 Male 39400 4 3 12 2.5
3331 Female 43300 3 3 8 1.1
3335 Female 30900 2 2 4 2.7
3352 Male 34500 1 4 14 0.7
3390 Male 26300 2 2 6 1.2
3395 Male 73500 6 2 26 2.1
3396 Male 30100 1 3 8 2.6
3442 Female 32100 6 2 10 8.5
3549 Male 49200 4 5 21 3.8
3554 Female 20400 4 1 3 0.1
3558 Male 39600 3 3 17 5.8
3559 Female 33900 3 5 12 1.2
3580 Male 29200 1 4 24 0.4
3589 Female 48600 2 3 24 1.6
3590 Male 56000 4 5 19 0.4
3598 Male 52100 4 2 18 1.3
3602 Male 29900 1 5 7 19.5
3642 Female 33300 2 3 19 7.3
3655 Male 57200 4 2 21 1.1
3656 Female 33200 1 1 19 1.7
3658 Female 63800 6 2 23 2.3
3665 Male 34100 1 1 14 1.6
3742 Male 26900 2 5 11 0.1
3750 Male 27700 3 5 15 2.8
3769 Male 34700 3 1 13 6.9
3809 Female 44700 2 5 17 4.1
3834 Male 46600 3 3 14 5.5
3863 Male 37500 2 2 15 0.4
3880 Male 54400 3 2 26 7.2
3888 Male 55000 6 4 29 2.9
3900 Male 37300 2 1 21 3.1
3929 Male 33400 2 3 6 0.9
3935 Female 22200 1 2 0 1.6
3943 Female 20700 5 3 3 1.8
3952 Female 44200 3 4 14 0.7
3957 Male 13400 5 5 9 1.2
3961 Female 17400 1 1 5 0.6
3982 Male 26600 3 4 11 4.4
3995 Female 27100 6 4 10 6.8
4020 Female 39100 3 4 16 2.1
4033 Male 34400 2 5 25 2.1
4053 Male 34100 2 2 22 2.2
4066 Female 23600 2 3 19 0.0
4075 Male 53300 5 3 17 3.6
4091 Female 32600 2 3 10 1.1
4095 Male 35300 6 4 15 1.3
4100 Female 44900 4 3 16 1.4
4120 Female 33000 2 2 0 1.2
4144 Male 27000 2 3 5 0.4
4153 Male 87400 7 2 37 1.2
4157 Male 32500 1 5 18 0.7
4184 Male 32300 3 1 5 6.9
4188 Male 32700 2 3 8 23.2
4199 Male 30000 2 3 21 1.8
4203 Male 34800 3 2 14 1.6
4229 Female 40700 4 2 22 1.3
4246 Male 21500 3 3 14 1.1
4264 Male 28500 1 5 6 0.8
4297 Female 49900 3 5 26 2.8
4371 Female 31800 1 5 11 0.8
4375 Male 28200 1 2 3 2.1
4388 Female 33600 5 3 15 4.6
4398 Male 31700 3 4 18 2.2
4425 Female 34600 2 3 6 0.8
4435 Male 25400 1 1 2 1.6
4486 Male 33900 2 2 8 2.7
4495 Female 36800 1 2 26 5.9
4512 Male 28400 1 3 12 2.0
4514 Male 49100 4 5 21 1.3
4516 Male 78400 7 5 26 0.0
4526 Female 55900 3 4 25 2.7
4539 Female 34100 1 1 23 0.5
4594 Female 35600 3 5 18 3.4
4599 Male 38300 1 4 25 1.5
4622 Male 40200 5 3 14 1.2
4631 Male 36000 3 4 18 0.9
4662 Male 66700 4 3 26 4.7
4666 Female 56800 7 3 23 3.6
4735 Female 82400 6 5 32 2.2
4747 Male 21800 4 3 5 3.3
4754 Female 17200 5 2 5 0.4
4767 Male 25200 1 1 8 5.3
4771 Female 53600 3 5 29 1.4
4773 Female 31700 3 5 14 1.9
4776 Male 45800 4 4 22 1.3
4789 Female 42600 4 5 12 0.7
4797 Male 32500 1 4 7 0.1
4807 Male 44400 3 2 25 0.7
4813 Female 47100 4 3 26 6.3
4822 Male 42000 4 5 9 0.6
4835 Male 42400 3 5 16 4.4
4852 Male 35800 4 5 9 0.7
4868 Female 32500 1 2 10 0.9
4869 Female 28500 4 2 11 1.4
4892 Female 38000 2 1 18 1.6
4923 Male 29000 1 2 13 0.6
4952 Female 75500 5 3 32 3.9
4980 Female 46700 5 4 17 3.9
5039 Male 37600 2 4 16 0.6
5041 Female 38800 2 5 7 0.5
5046 Female 35300 1 2 2 3.9
5073 Male 38700 1 3 16 0.0
5095 Female 48300 4 5 14 1.4
5109 Male 49400 4 2 19 1.2
5129 Male 35400 3 3 26 0.7
5134 Male 62300 3 4 28 1.1
5137 Male 48400 3 5 21 0.8
5146 Male 38900 1 2 13 1.4
5149 Female 30900 1 5 14 0.8
5160 Male 34600 2 1 13 0.6
5164 Female 38600 5 5 20 1.2
5177 Male 23900 1 1 3 2.0
5186 Male 48800 3 5 18 0.6
5192 Male 26200 1 1 16 2.3
5207 Female 35700 1 3 12 1.0
5222 Female 24800 1 3 2 5.8
5229 Female 32400 1 5 11 0.7
5237 Female 37300 3 1 16 0.3
5240 Male 32900 2 1 19 1.3
5288 Female 28200 1 5 15 0.8
5294 Female 22600 1 5 7 0.6
5299 Male 32400 2 3 11 0.7
5316 Female 34100 5 3 6 1.4
5319 Female 55100 3 5 17 0.5
5323 Male 51000 6 4 15 0.4
5360 Male 35300 2 5 12 1.0
5366 Male 34300 2 5 1 0.2
5374 Female 25900 1 5 1 7.1
5412 Male 34100 2 1 20 2.5
5422 Male 43200 2 5 16 0.5
5448 Male 45000 2 5 14 0.7
5473 Female 43900 4 3 16 1.4
5483 Female 36900 1 4 16 0.4
5489 Female 39400 1 5 15 0.4
5496 Female 74800 4 5 28 0.8
5507 Male 44200 3 5 12 0.6
5508 Male 34400 3 5 15 0.1
5558 Male 43800 6 4 14 0.8
5576 Male 42300 1 2 16 3.6
5581 Female 59100 6 5 23 0.6
5590 Male 49200 4 4 15 1.9
5619 Male 45100 7 4 14 0.7
5628 Male 27000 1 4 16 3.0
5663 Male 32700 1 3 11 4.2
5694 Male 37300 4 2 14 0.0
5714 Female 25200 1 5 7 0.4
5739 Male 24200 1 3 7 0.7
5748 Male 23200 1 3 10 1.0
5752 Female 75900 6 5 29 2.3
5783 Male 33400 2 3 4 5.0
5826 Male 30800 1 5 16 1.3
5841 Female 38400 3 5 13 1.4
5873 Male 18500 1 5 7 2.2
5882 Female 37200 2 4 19 1.9
5883 Male 36700 4 5 16 2.4
5893 Male 46500 3 5 16 0.6
5902 Male 22700 5 5 8 2.4
5929 Male 54300 7 5 23 2.0
5944 Female 53100 3 3 26 3.1
5952 Female 49300 5 5 15 1.4
5988 Male 75700 6 3 34 0.1
5995 Male 28200 2 1 13 0.4
6006 Male 41500 4 5 12 5.9
6025 Female 37500 1 4 8 4.9
6040 Female 78600 7 5 28 4.0
6045 Male 50200 2 2 18 0.8
6053 Male 58700 5 5 23 1.4
6070 Female 43300 5 5 17 4.8
6081 Female 42200 1 2 18 0.2
6089 Male 29100 3 4 9 2.8
6108 Male 38600 2 4 9 3.1
6175 Female 33300 1 5 6 0.6
6193 Male 26100 2 3 5 0.4
6202 Male 30400 1 4 16 6.4
6205 Male 36200 4 4 12 1.7
6206 Female 32800 2 4 5 2.7
6222 Male 60500 4 2 15 1.9
6223 Male 29200 1 2 7 1.8
6230 Male 48700 4 4 26 2.3
6254 Male 21000 1 2 3 0.8
6263 Male 20900 2 4 7 2.8
6272 Male 35900 2 1 13 0.1
6325 Male 51700 7 3 17 3.4
6333 Female 6700 5 3 0 0.5
6340 Male 21600 1 3 10 1.2
6341 Male 62000 4 5 21 5.3
6370 Male 37600 5 3 10 0.2
6381 Female 52400 4 3 18 0.1
6407 Female 26000 2 5 11 2.8
6410 Male 64200 4 5 21 2.7
6413 Male 33900 5 1 12 1.9
6429 Male 67200 5 2 28 1.7
6457 Male 31900 3 2 11 3.1
6459 Female 26100 1 3 3 1.9
6467 Female 52500 6 2 14 1.1
6468 Male 60800 4 4 24 0.8
6508 Female 46300 3 3 18 0.0
6516 Female 34200 5 5 18 4.4
6521 Female 54200 2 5 12 1.1
6547 Female 52300 4 4 17 6.3
6557 Male 55700 4 4 21 0.2
6567 Male 51100 3 3 27 2.3
6581 Female 30500 5 1 10 1.7
6609 Male 71000 7 4 22 0.7
6613 Male 65100 5 5 23 0.0
6647 Female 36000 3 5 8 2.7
6680 Male 41000 7 5 17 0.3
6700 Male 31800 2 3 11 4.1
6721 Female 39600 3 2 10 1.3
6761 Female 27300 1 2 5 2.9
6772 Female 25400 1 3 8 2.2
6774 Male 40900 1 5 18 0.9
6800 Female 46100 2 4 24 3.7
6801 Male 37400 1 2 14 1.1
6806 Male 27400 2 3 14 1.3
6807 Male 23200 1 5 3 1.1
6809 Male 11000 5 5 3 0.8
6836 Female 35400 2 5 19 2.5
6859 Male 34100 3 2 10 0.4
6870 Male 40500 2 5 19 0.3
6881 Male 67400 5 5 27 2.4
6894 Female 29500 4 5 4 0.4
6932 Female 41900 4 5 17 2.6
6993 Male 41700 4 4 17 0.5
7013 Female 65100 6 2 31 0.1
7017 Male 21100 2 5 1 1.5
7059 Male 39100 3 5 11 2.7
7062 Female 28500 3 5 10 0.7
7067 Female 26200 2 3 7 0.8
7098 Female 57700 5 3 17 0.3
7121 Male 36000 1 3 18 2.2
7145 Male 46500 5 2 21 0.1
7147 Male 31900 1 2 14 0.7
7197 Male 61200 6 5 27 0.6
7204 Male 36800 2 1 14 0.1
7252 Female 27600 2 4 10 1.1
7264 Female 31800 2 3 18 0.9
7279 Female 29600 1 2 10 1.8
7281 Male 38300 2 1 14 0.4
7292 Male 33500 1 3 9 2.2
7331 Female 28500 5 3 10 1.2
7343 Female 36800 1 2 7 2.0
7347 Male 61400 5 4 30 0.0
7353 Male 41700 1 1 21 3.0
7365 Male 33000 1 5 15 2.6
7372 Female 20000 1 5 1 4.9
7411 Male 35600 3 1 11 1.8
7424 Male 49700 4 5 26 0.4
7455 Male 56900 6 4 21 0.5
7466 Male 65100 5 5 29 0.4
7477 Female 29300 1 5 12 1.5
7535 Male 35000 1 4 14 0.2
7544 Female 37700 2 4 13 3.4
7553 Male 34400 1 4 17 0.2
7572 Male 38800 5 5 7 2.2
7590 Male 60000 5 5 26 0.2
7594 Male 29600 2 4 3 1.0
7607 Male 30000 3 5 6 2.2
7613 Female 33100 3 2 13 4.9
7680 Male 33200 2 2 12 0.1
7695 Male 41300 3 5 22 1.9
7714 Female 35200 1 2 18 1.4
7727 Female 46000 3 3 12 1.9
7748 Male 29700 2 3 20 0.4
7757 Female 35800 4 5 8 0.8
7760 Female 35200 4 2 12 0.1
7771 Male 32100 2 1 15 0.9
7782 Male 33000 4 4 15 1.1
7803 Female 28500 1 5 16 2.2
7811 Male 37100 1 2 18 1.5
7813 Male 27800 1 3 18 5.9
7835 Male 35100 3 5 17 0.6
7840 Female 48100 3 2 17 7.7
7843 Male 23900 2 5 11 5.1
7859 Female 44700 3 5 27 6.7
7906 Male 20700 2 1 3 1.0
7913 Male 39100 1 2 8 4.9
7933 Female 33400 2 5 13 1.3
7945 Male 40400 7 2 12 3.3
7946 Female 44000 6 5 11 6.0
7974 Male 30900 4 3 9 2.1
7983 Female 33700 2 4 18 2.6
7986 Male 11000 7 4 3 0.4
7992 Male 62700 6 3 31 4.2
7993 Male 47600 3 5 30 5.1
8042 Female 36900 2 5 7 0.5
8061 Male 26000 3 5 1 0.3
8071 Female 32100 1 2 17 0.7
8077 Male 34800 3 2 13 1.9
8085 Female 23500 2 4 1 2.0
8093 Female 68800 6 3 22 0.8
8100 Male 35600 2 4 9 1.0
8108 Male 56100 4 5 26 1.4
8112 Female 27000 1 2 14 5.9
8116 Female 35500 1 5 13 4.5
8120 Female 48800 6 2 22 0.2
8184 Female 26600 6 5 5 1.1
8195 Female 44500 4 5 18 3.2
8229 Female 26000 1 1 17 5.8
8250 Male 67900 5 3 35 0.2
8256 Female 35400 4 4 16 2.6
8262 Female 35700 2 2 8 6.3
8280 Female 38400 3 3 17 3.6
8302 Male 41100 3 5 5 1.6
8321 Male 39500 3 5 7 0.3
8330 Male 40300 2 5 8 1.5
8363 Female 42600 1 2 18 0.5
8370 Female 36300 3 2 14 0.2
8372 Male 33300 1 4 11 0.6
8392 Male 78600 7 4 26 0.2
8415 Female 90400 6 3 39 1.9
8433 Male 35200 2 5 16 0.8
8446 Male 32200 1 5 12 2.1
8475 Female 32100 1 5 15 1.7
8493 Female 42600 3 4 16 0.8
8494 Male 47900 4 4 14 0.2
8495 Female 52000 3 5 22 0.9
8504 Female 44500 2 1 16 0.7
8512 Male 47800 2 3 23 2.2
8513 Female 22200 4 5 9 7.2
8563 Male 45200 6 5 16 1.6
8570 Male 40000 2 3 14 0.5
8574 Male 65600 5 5 22 0.9
8585 Male 45800 5 4 22 5.4
8595 Female 32500 1 5 18 0.4
8615 Female 28000 2 3 14 0.0
8670 Female 28100 5 5 6 0.3
8685 Female 62200 5 5 22 0.7
8718 Male 15900 2 3 12 3.9
8726 Male 48500 5 5 10 1.5
8738 Male 37400 2 5 15 2.2
8769 Female 27700 1 1 3 1.9
8772 Male 40400 2 3 12 0.1
8808 Male 46500 3 4 11 4.4
8809 Female 46600 3 5 14 0.1
8815 Male 44400 4 5 20 4.3
8816 Female 16600 1 3 3 1.6
8850 Male 31300 1 2 8 3.5
8863 Male 62500 3 5 24 0.7
8870 Female 42800 4 3 11 1.6
8875 Male 44000 5 4 14 2.8
8885 Female 43600 3 5 13 3.1
8892 Male 45600 3 5 14 0.1
8915 Male 96300 7 5 42 8.7
8938 Male 53800 4 3 17 1.7
8958 Male 30400 2 4 13 0.7
8960 Female 23400 1 1 14 0.1
8969 Female 31400 2 5 14 1.7
8977 Female 32500 2 5 14 1.1
9102 Male 26100 5 3 2 3.5
9117 Male 57000 5 2 22 0.3
9133 Male 48200 4 1 19 0.3
9141 Male 24100 2 5 12 3.0
9147 Male 46200 4 4 13 1.3
9155 Male 26800 1 3 16 1.7
9172 Male 42300 2 3 25 0.6
9178 Male 37600 3 2 16 3.5
9188 Male 61500 7 5 29 0.9
9204 Male 58600 4 2 23 2.0
9211 Male 26000 1 5 4 9.0
9233 Male 39800 6 5 17 1.3
9236 Male 47000 3 5 22 0.7
9239 Female 36100 3 2 13 5.4
9288 Male 39100 3 2 14 4.8
9295 Male 22700 5 4 11 3.3
9321 Male 36100 1 2 14 1.3
9325 Male 55800 5 5 20 4.6
9326 Male 59900 4 1 25 0.3
9345 Male 27500 4 5 18 0.7
9374 Male 43800 3 4 17 1.4
9391 Female 41100 2 2 15 0.6
9418 Male 40700 1 5 15 3.3
9435 Male 27400 1 1 9 2.4
9438 Male 42100 4 4 17 0.1
9467 Female 38300 1 2 12 1.1
9482 Male 40300 2 5 14 1.4
9497 Female 25000 1 2 2 0.3
9506 Male 35600 3 3 9 0.4
9522 Male 32300 1 1 3 1.1
9534 Female 25300 3 3 6 0.0
9542 Female 26500 4 5 12 0.7
9580 Male 39100 3 1 12 5.3
9602 Female 78700 5 4 35 0.3
9626 Male 16000 5 5 9 1.9
9646 Male 30800 1 2 8 2.7
9668 Female 34800 5 2 16 0.6
9672 Male 46700 3 4 9 1.4
9717 Female 54900 4 5 22 1.0
9718 Female 25900 2 4 4 2.8
9722 Male 53000 4 5 14 3.5
9731 Female 33000 1 1 15 2.2
9749 Female 14900 3 5 1 0.5
9767 Female 24100 3 5 20 3.4
9783 Female 22700 2 5 6 2.6
9801 Male 72200 7 5 34 0.2
9821 Female 38800 4 4 8 0.3
9842 Male 69000 6 5 33 1.0
9868 Female 28500 2 5 12 2.4
9919 Female 54400 4 1 20 0.1
9944 Male 18000 2 1 12 0.6
9948 Male 19700 1 3 0 0.6
9961 Male 43800 4 3 13 9.2
9979 Male 36400 2 5 12 1.8
9983 Male 53500 6 5 19 8.9