Question
Complete the following Activities/questions in the spreadsheet: Chapter 14 Data Analytics 1. Conduct Multiple Regression Analysis using the Data Analysis Toolpak a. Dependent Variable(Y): Maintenance
Complete the following Activities/questions in the spreadsheet: Chapter 14 Data Analytics 1.
Conduct Multiple Regression Analysis using the Data Analysis Toolpak a. Dependent Variable(Y): Maintenance Cost b. Independent Variables(X): i. EngineType(0=diesel) - x1 ii. Age - x2 iii. Odometer Miles - x3 iv. Miles - x4 2.
Type out the complete Regression equation using the calculated coefficients in the format as described in the text a. = a + b1x1 + b2x2 + b3x3 + b4x4 3.
Predict the maintenance cost of a bus with the following characteristics:
a. Gasoline engine
b. 8 years old
c. Odometer = 85,000 miles
d. Miles since last maintenance = 12,000
ID | Manufacturer | Engine Type | Capacity | Maintenance cost | Engine Type (0=diesel) | Age | Odometer Miles | Miles |
10 | Keiser | Gasoline | 14 | 4646 | 1 | 5 | 54375 | 11973 |
396 | Thompson | Diesel | 14 | 1072 | 0 | 2 | 21858 | 11969 |
122 | Bluebird | Gasoline | 55 | 9394 | 1 | 10 | 116580 | 11967 |
751 | Keiser | Diesel | 14 | 1078 | 0 | 2 | 22444 | 11948 |
279 | Bluebird | Diesel | 55 | 1008 | 0 | 2 | 22672 | 11925 |
500 | Bluebird | Gasoline | 55 | 5329 | 1 | 5 | 50765 | 11922 |
520 | Bluebird | Diesel | 55 | 4794 | 0 | 10 | 119130 | 11896 |
759 | Keiser | Diesel | 55 | 3952 | 0 | 8 | 87872 | 11883 |
714 | Bluebird | Diesel | 42 | 3742 | 0 | 7 | 73703 | 11837 |
875 | Bluebird | Diesel | 55 | 4376 | 0 | 9 | 97947 | 11814 |
600 | Bluebird | Diesel | 55 | 4832 | 0 | 10 | 119860 | 11800 |
953 | Bluebird | Diesel | 55 | 5160 | 0 | 10 | 117700 | 11798 |
101 | Bluebird | Diesel | 55 | 1955 | 0 | 4 | 41096 | 11789 |
358 | Bluebird | Diesel | 55 | 2775 | 0 | 6 | 70086 | 11782 |
29 | Bluebird | Gasoline | 55 | 5352 | 1 | 6 | 69438 | 11781 |
365 | Keiser | Diesel | 55 | 3065 | 0 | 6 | 63384 | 11778 |
162 | Keiser | Gasoline | 55 | 3143 | 1 | 3 | 31266 | 11758 |
686 | Bluebird | Diesel | 55 | 1569 | 0 | 3 | 34674 | 11757 |
370 | Keiser | Gasoline | 55 | 7766 | 1 | 8 | 86528 | 11707 |
887 | Bluebird | Diesel | 55 | 3743 | 0 | 8 | 93672 | 11704 |
464 | Bluebird | Gasoline | 55 | 2540 | 1 | 3 | 34530 | 11698 |
948 | Keiser | Diesel | 42 | 4342 | 0 | 9 | 97956 | 11691 |
678 | Keiser | Diesel | 55 | 3361 | 0 | 7 | 75229 | 11668 |
481 | Keiser | Gasoline | 6 | 3097 | 1 | 3 | 34362 | 11662 |
43 | Bluebird | Gasoline | 55 | 8263 | 1 | 9 | 102969 | 11615 |
704 | Bluebird | Diesel | 55 | 4218 | 0 | 8 | 83424 | 11610 |
814 | Bluebird | Diesel | 55 | 2028 | 0 | 4 | 40824 | 11576 |
39 | Bluebird | Gasoline | 55 | 5821 | 1 | 6 | 69444 | 11533 |
699 | Bluebird | Gasoline | 55 | 9069 | 1 | 9 | 98307 | 11518 |
75 | Bluebird | Diesel | 55 | 3011 | 0 | 6 | 71970 | 11462 |
693 | Keiser | Gasoline | 55 | 9193 | 1 | 9 | 101889 | 11461 |
989 | Keiser | Diesel | 55 | 4795 | 0 | 9 | 106605 | 11418 |
982 | Bluebird | Diesel | 55 | 505 | 0 | 1 | 10276 | 11359 |
321 | Bluebird | Diesel | 42 | 2732 | 0 | 6 | 70122 | 11358 |
724 | Keiser | Diesel | 42 | 3754 | 0 | 8 | 91968 | 11344 |
732 | Keiser | Diesel | 42 | 4640 | 0 | 9 | 101196 | 11342 |
880 | Keiser | Gasoline | 55 | 8410 | 1 | 9 | 97065 | 11336 |
193 | Thompson | Diesel | 14 | 5922 | 0 | 11 | 128711 | 11248 |
884 | Bluebird | Diesel | 55 | 4364 | 0 | 9 | 92457 | 11231 |
57 | Bluebird | Diesel | 55 | 3190 | 0 | 7 | 79240 | 11222 |
731 | Bluebird | Diesel | 42 | 3213 | 0 | 6 | 68526 | 11168 |
61 | Keiser | Diesel | 55 | 4139 | 0 | 9 | 103536 | 11148 |
135 | Bluebird | Diesel | 55 | 3560 | 0 | 7 | 76426 | 11127 |
833 | Thompson | Diesel | 14 | 3920 | 0 | 8 | 90968 | 11112 |
671 | Thompson | Gasoline | 14 | 6733 | 1 | 8 | 89792 | 11100 |
692 | Bluebird | Diesel | 55 | 3770 | 0 | 8 | 93248 | 11048 |
200 | Bluebird | Diesel | 55 | 5168 | 0 | 10 | 103700 | 11018 |
754 | Keiser | Diesel | 14 | 7380 | 0 | 14 | 146860 | 11003 |
540 | Bluebird | Gasoline | 55 | 3656 | 1 | 4 | 45284 | 10945 |
660 | Bluebird | Gasoline | 55 | 6213 | 1 | 6 | 64434 | 10911 |
353 | Keiser | Gasoline | 55 | 4279 | 1 | 4 | 45744 | 10902 |
482 | Bluebird | Gasoline | 55 | 10575 | 1 | 10 | 116534 | 10802 |
398 | Thompson | Diesel | 6 | 4752 | 0 | 9 | 95922 | 10802 |
984 | Bluebird | Diesel | 55 | 3809 | 0 | 8 | 87664 | 10760 |
977 | Bluebird | Diesel | 55 | 3769 | 0 | 7 | 79422 | 10759 |
705 | Keiser | Diesel | 42 | 2152 | 0 | 4 | 47596 | 10755 |
767 | Keiser | Diesel | 55 | 2985 | 0 | 6 | 71538 | 10726 |
326 | Bluebird | Diesel | 55 | 4563 | 0 | 9 | 107343 | 10724 |
120 | Keiser | Diesel | 42 | 4723 | 0 | 10 | 110320 | 10674 |
554 | Bluebird | Diesel | 42 | 1826 | 0 | 4 | 44604 | 10662 |
695 | Bluebird | Diesel | 55 | 1061 | 0 | 2 | 23152 | 10633 |
9 | Keiser | Gasoline | 55 | 3527 | 1 | 4 | 46848 | 10591 |
861 | Bluebird | Gasoline | 55 | 9669 | 1 | 10 | 106040 | 10551 |
603 | Keiser | Diesel | 14 | 2116 | 0 | 4 | 44384 | 10518 |
156 | Thompson | Diesel | 14 | 6212 | 0 | 12 | 140460 | 10473 |
427 | Keiser | Gasoline | 55 | 6927 | 1 | 7 | 73423 | 10355 |
883 | Bluebird | Gasoline | 55 | 1881 | 1 | 2 | 20742 | 10344 |
168 | Thompson | Gasoline | 14 | 7004 | 1 | 7 | 83006 | 10315 |
954 | Bluebird | Diesel | 42 | 5284 | 0 | 10 | 101000 | 10235 |
768 | Bluebird | Diesel | 42 | 3173 | 0 | 7 | 71778 | 10227 |
490 | Bluebird | Gasoline | 55 | 10133 | 1 | 10 | 106240 | 10210 |
725 | Bluebird | Diesel | 55 | 2356 | 0 | 5 | 57065 | 10209 |
45 | Keiser | Diesel | 55 | 3124 | 0 | 6 | 60102 | 10167 |
38 | Keiser | Gasoline | 14 | 5976 | 1 | 6 | 61662 | 10140 |
314 | Thompson | Diesel | 6 | 5408 | 0 | 11 | 128117 | 10128 |
507 | Bluebird | Diesel | 55 | 3690 | 0 | 7 | 72849 | 10095 |
40 | Bluebird | Gasoline | 55 | 9573 | 1 | 10 | 118470 | 10081 |
918 | Bluebird | Diesel | 55 | 2470 | 0 | 5 | 53620 | 10075 |
387 | Bluebird | Gasoline | 55 | 6863 | 1 | 8 | 89960 | 10055 |
418 | Bluebird | Diesel | 55 | 4513 | 0 | 9 | 104715 | 10000 |
Type out the complete Regression equation using the calculated coefficients in the format as described in the text. | |||||||
Round coefficients to 2 decimal places. | |||||||
= a + b1x1 + b2x2 + b3x3 + b4x4 | |||||||
= | |||||||
Using the coefficents from the regression output, predict the following using the values from the instructions | |||||||
Component | Coefficient(a/b) | Prediction Value(x) | Cacluation | ||||
Intercept | |||||||
Engine Type (0 = diesel) | |||||||
Age | |||||||
Odometer Miles | |||||||
Miles since last maintenance | |||||||
Predicted annual maintenance cost |
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