assignment 1
Data Set Assignment
| DS 312 Fall 2021 | Student ID | Data Set # | ||
| 916422265 | 2 | |||
| 916629498 | 1 | |||
| 916980524 | 2 | |||
| 917000063 | 1 | |||
| 917529475 | 3 | |||
| 917666625 | 3 | |||
| 917804555 | 1 | |||
| 917808572 | 3 | |||
| 917881632 | 2 | |||
| 917910752 | 3 | |||
| 918213483 | 1 | |||
| 918224468 | 3 | |||
| 918377556 | 2 | |||
| 918429400 | 2 | |||
| 918628729 | 1 | |||
| 918634228 | 1 | |||
| 918822728 | 3 | |||
| 920020761 | 3 | |||
| 920446589 | 2 | |||
| 920494403 | 1 | |||
| 920868218 | 1 | |||
| 921178268 | 2 | |||
| 921251588 | 1 | |||
| 921426711 | 2 | |||
| 922115724 | 2 | |||
data set #1
| ACT test scores | GPA | Grade point average. The director of admissions of a small college selected 120 students at | |
| 21 | 3.897 | random from the new freshman class in a study to determine whether a student's grade point | |
| 14 | 3.885 | average (GPA) at the end of the freshman year can be predicted using the ACT test score. | |
| 28 | 3.778 | The results of the study follow. | |
| 22 | 2.54 | ||
| 21 | 3.028 | ||
| 31 | 3.865 | ||
| 32 | 2.962 | ||
| 27 | 3.961 | ||
| 29 | 0.5 | ||
| 26 | 3.178 | ||
| 24 | 3.31 | ||
| 30 | 3.538 | ||
| 24 | 3.083 | ||
| 24 | 3.013 | ||
| 33 | 3.245 | ||
| 27 | 2.963 | ||
| 25 | 3.522 | ||
| 31 | 3.013 | ||
| 25 | 2.947 | ||
| 20 | 2.118 | ||
| 24 | 2.563 | ||
| 21 | 3.357 | ||
| 28 | 3.731 | ||
| 27 | 3.925 | ||
| 28 | 3.556 | ||
| 26 | 3.101 | ||
| 28 | 2.42 | ||
| 22 | 2.579 | ||
| 26 | 3.871 | ||
| 21 | 3.06 | ||
| 25 | 3.927 | ||
| 16 | 2.375 | ||
| 28 | 2.929 | ||
| 26 | 3.375 | ||
| 22 | 2.857 | ||
| 24 | 3.072 | ||
| 21 | 3.381 | ||
| 30 | 3.29 | ||
| 27 | 3.549 | ||
| 26 | 3.646 | ||
| 26 | 2.978 | ||
| 30 | 2.654 | ||
| 24 | 2.54 | ||
| 26 | 2.25 | ||
| 29 | 2.069 | ||
| 24 | 2.617 | ||
| 31 | 2.183 | ||
| 15 | 2 | ||
| 19 | 2.952 | ||
| 18 | 3.806 | ||
| 27 | 2.871 | ||
| 16 | 3.352 | ||
| 27 | 3.305 | ||
| 26 | 2.952 | ||
| 24 | 3.547 | ||
| 30 | 3.691 | ||
| 21 | 3.16 | ||
| 20 | 2.194 | ||
| 30 | 3.323 | ||
| 29 | 3.936 | ||
| 25 | 2.922 | ||
| 23 | 2.716 | ||
| 25 | 3.37 | ||
| 23 | 3.606 | ||
| 30 | 2.642 | ||
| 21 | 2.452 | ||
| 24 | 2.655 | ||
| 32 | 3.714 | ||
| 18 | 1.806 | ||
| 23 | 3.516 | ||
| 20 | 3.039 | ||
| 23 | 2.966 | ||
| 18 | 2.482 | ||
| 18 | 2.7 | ||
| 29 | 3.92 | ||
| 20 | 2.834 | ||
| 23 | 3.222 | ||
| 26 | 3.084 | ||
| 28 | 4 | ||
| 34 | 3.511 | ||
| 20 | 3.323 | ||
| 20 | 3.072 | ||
| 26 | 2.079 | ||
| 32 | 3.875 | ||
| 25 | 3.208 | ||
| 27 | 2.92 | ||
| 27 | 3.345 | ||
| 29 | 3.956 | ||
| 19 | 3.808 | ||
| 21 | 2.506 | ||
| 24 | 3.886 | ||
| 27 | 2.183 | ||
| 25 | 3.429 | ||
| 18 | 3.024 | ||
| 29 | 3.75 | ||
| 24 | 3.833 | ||
| 27 | 3.113 | ||
| 21 | 2.875 | ||
| 19 | 2.747 | ||
| 18 | 2.311 | ||
| 25 | 1.841 | ||
| 18 | 1.583 | ||
| 20 | 2.879 | ||
| 32 | 3.591 | ||
| 24 | 2.914 | ||
| 35 | 3.716 | ||
| 25 | 2.8 | ||
| 28 | 3.621 | ||
| 28 | 3.792 | ||
| 25 | 2.867 | ||
| 22 | 3.419 | ||
| 30 | 3.6 | ||
| 20 | 2.394 | ||
| 20 | 2.286 | ||
| 31 | 1.486 | ||
| 20 | 3.885 | ||
| 29 | 3.8 | ||
| 28 | 3.914 | ||
| 16 | 1.86 | ||
| 28 | 2.948 |
data set #2
| Number of copiers serviced | Total number of minutes spent by the service person | Copier maintenance. The Tri-City Office Equipment Corporation sells an imported copier on | |
| 2 | 20 | a franchise basis and performs preventive maintenance and repair service on this copier. The | |
| 4 | 60 | data below have been collected from 45 recent calls on users to perform routine preventive | |
| 3 | 46 | maintenance service. The company would like to use these data to predict the total | |
| 2 | 41 | number of minutes spent by the service person using the number of copiers serviced. | |
| 1 | 12 | ||
| 10 | 137 | ||
| 5 | 68 | ||
| 5 | 89 | ||
| 1 | 4 | ||
| 2 | 32 | ||
| 9 | 144 | ||
| 10 | 156 | ||
| 6 | 93 | ||
| 3 | 36 | ||
| 4 | 72 | ||
| 8 | 100 | ||
| 7 | 105 | ||
| 8 | 131 | ||
| 10 | 127 | ||
| 4 | 57 | ||
| 5 | 66 | ||
| 7 | 101 | ||
| 7 | 109 | ||
| 5 | 74 | ||
| 9 | 134 | ||
| 7 | 112 | ||
| 2 | 18 | ||
| 5 | 73 | ||
| 7 | 111 | ||
| 6 | 96 | ||
| 8 | 123 | ||
| 5 | 90 | ||
| 2 | 20 | ||
| 2 | 28 | ||
| 1 | 3 | ||
| 4 | 57 | ||
| 5 | 86 | ||
| 9 | 132 | ||
| 7 | 112 | ||
| 1 | 27 | ||
| 9 | 131 | ||
| 2 | 34 | ||
| 2 | 27 | ||
| 4 | 61 | ||
| 5 | 77 |
data set #3
| Number of times the carton was transferred from one aircraft to another over the shipment route | Number of ampules found to be broken upon arrival | Airfreight breakage. A substance used in biological and medical research is shipped by airfreight | |
| 16 | 1 | to users in cartons of 1,000 ampules. The data from shipments were collected. | |
| 9 | 0 | The objective is to predect the number of ampules found to be broken upon arrival | |
| 17 | 2 | using the number of times the carton was transferred from one aircraft to another overthe shipment route. | |
| 12 | 0 | ||
| 22 | 3 | ||
| 13 | 1 | ||
| 8 | 0 | ||
| 15 | 1 | ||
| 19 | 2 | ||
| 11 | 0 | ||
| 18 | 2 | ||
| 17 | 1 | ||
| 17 | 2 | ||
| 10 | 0 | ||
| 11 | 1 | ||
| 18 | 2 | ||
| 17 | 1 | ||
| 12 | 0 | ||
| 14 | 1 | ||
| 15 | 1 | ||
| 15 | 2 | ||
| 14 | 1 | ||
| 17 | 1 | ||
| 14 | 1 | ||
| 12 | 1 | ||
| 11 | 0 | ||
| 16 | 2 | ||
| 12 | 1 | ||
| 11 | 0 | ||
| 13 | 1 | ||
| 18 | 1 | ||
| 13 | 0 | ||
| 10 | 0 | ||
| 15 | 1 | ||
| 13 | 1 | ||
| 11 | 0 | ||
| 14 | 1 | ||
| 18 | 2 | ||
| 17 | 1 |