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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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