The maintenance manager at a trucking company wants to build a regression model to forecast the time until the first engine overhaul (Time in years) based on four predictor variables: (1) annual miles driven (Miles in 1,000s). (2) average load weight (Load in tons). (3) average driving speed (Speed in mph), and (4) oil change interval (Oil in 1,000s miles). Based on driver logs and onboard computers. data have been obtained for a sample of 25 trucks. The accompanying file contains relevant data. Click here for the Excel Data File a. Estimate the time until the first engine overhaul as a function of all four predictor variables. Note: Negative values should be Indicated by a minus sign. Round your answers to 2 decimal places. Time= OMG: B₁ = B₂= B3 = 84= 0: MA: At least one 8;> 0 ⒸM: B₁ = B₂= B₂ = 84 = 0: M₂: At least one B; <0 OM: B₁ = B₂ = B3 = 84 = 0: MA: At least one 8; = 0 b-2. Find the p-value. Miles + b-1. At the 10% significance level, are the predictor variables jointly significant? First, specify the competing hypotheses. O p-value < 0.01 0.01s p-value < 0.025 0.025 s p-value < 0.05 O 0.05 ≤ p-value < 0.10 p-value ≥ 0.10 Load + Speed + Oil
The maintenance manager at a trucking company wants to build a regression model to forecast the time until the first engine overhaul (Time in years) based on four predictor variables: (1) annual miles driven (Miles in 1,000s). (2) average load weight (Load in tons). (3) average driving speed (Speed in mph), and (4) oil change interval (Oil in 1,000s miles). Based on driver logs and onboard computers. data have been obtained for a sample of 25 trucks. The accompanying file contains relevant data. Click here for the Excel Data File a. Estimate the time until the first engine overhaul as a function of all four predictor variables. Note: Negative values should be Indicated by a minus sign. Round your answers to 2 decimal places. Time= OMG: B₁ = B₂= B3 = 84= 0: MA: At least one 8;> 0 ⒸM: B₁ = B₂= B₂ = 84 = 0: M₂: At least one B; <0 OM: B₁ = B₂ = B3 = 84 = 0: MA: At least one 8; = 0 b-2. Find the p-value. Miles + b-1. At the 10% significance level, are the predictor variables jointly significant? First, specify the competing hypotheses. O p-value < 0.01 0.01s p-value < 0.025 0.025 s p-value < 0.05 O 0.05 ≤ p-value < 0.10 p-value ≥ 0.10 Load + Speed + Oil
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![Time Miles Load Speed Oil
8
0.9
8.5
0.9
1.8
1.7
3
7
8.3
3.9
0.9
4.7
4.8
5.2
5.2
8.2
5.3
6.3
4.4
6.1
6.9
7.2
3.7
7
6
43.3
99
43.6
111.2
102.7
97.4
92.8
53.8
51.7
85.2
120.3
77
68.4
54.8
67.1
39
53.1
53.8
75
59.1
52.8
68.7
95
45.3
61.1
Show Transcribed Text
Time=
19
25
21
27
b-2. Find the p-value.
28
O p-value < 0.01
O 0.01 < p-value < 0.025
O 0.025 s p-value < 0.05
O 0.05 ≤ p-value < 0.10
p-value ≥ 0.10
24
23
20
22
25
29
25
21
24
20
20
21
19
22
20
22
18
23
17
24
S45H5N8885888483
SEHNENEHN2222
56
61
75
61
72
60
66
51
65
59
73
57
63
56
56
63
69
68
66
56
68
73
30
42
Miles +
14
24
24
18
26
23
34
33
40
25
18
21
28
28
30
38
14
34
21
20
The maintenance manager at a trucking company wants to build a regression model to forecast the time until the first engine overhaul
(Time in years) based on four predictor variables: (1) annual miles driven (Miles in 1,000s). (2) average load weight (Load in tons), (3)
average driving speed (Speed in mph), and (4) oil change interval (Oil in 1,000s miles). Based on driver logs and onboard computers.
data have been obtained for a sample of 25 trucks. The accompanying file contains relevant data.
Click here for the Excel Data File
25
a. Estimate the time until the first engine overhaul as a function of all four predictor variables.
Note: Negative values should be Indicated by a minus sign. Round your answers to 2 decimal places.
24
g
ⒸH: B₁ = B₂ = B3 = B4 = 0: HA: At least one B; > 0
OH: B₁ = B₂ = B3 = B4 = 0: M₂: At least one B; <0
ⒸH: B₁ = B₂ = B3 = B4 = 0: M₂: At least one B; = 0
b-1. At the 10% significance level, are the predictor variables jointly significant? First, specify the competing hypotheses.
Load +
Speed +
Oil](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F95e80f08-41f4-43fd-908d-f14791bc419f%2F9be0a186-ba95-455a-8b31-8bc2f426cacd%2Fwe04xd_processed.png&w=3840&q=75)
Transcribed Image Text:Time Miles Load Speed Oil
8
0.9
8.5
0.9
1.8
1.7
3
7
8.3
3.9
0.9
4.7
4.8
5.2
5.2
8.2
5.3
6.3
4.4
6.1
6.9
7.2
3.7
7
6
43.3
99
43.6
111.2
102.7
97.4
92.8
53.8
51.7
85.2
120.3
77
68.4
54.8
67.1
39
53.1
53.8
75
59.1
52.8
68.7
95
45.3
61.1
Show Transcribed Text
Time=
19
25
21
27
b-2. Find the p-value.
28
O p-value < 0.01
O 0.01 < p-value < 0.025
O 0.025 s p-value < 0.05
O 0.05 ≤ p-value < 0.10
p-value ≥ 0.10
24
23
20
22
25
29
25
21
24
20
20
21
19
22
20
22
18
23
17
24
S45H5N8885888483
SEHNENEHN2222
56
61
75
61
72
60
66
51
65
59
73
57
63
56
56
63
69
68
66
56
68
73
30
42
Miles +
14
24
24
18
26
23
34
33
40
25
18
21
28
28
30
38
14
34
21
20
The maintenance manager at a trucking company wants to build a regression model to forecast the time until the first engine overhaul
(Time in years) based on four predictor variables: (1) annual miles driven (Miles in 1,000s). (2) average load weight (Load in tons), (3)
average driving speed (Speed in mph), and (4) oil change interval (Oil in 1,000s miles). Based on driver logs and onboard computers.
data have been obtained for a sample of 25 trucks. The accompanying file contains relevant data.
Click here for the Excel Data File
25
a. Estimate the time until the first engine overhaul as a function of all four predictor variables.
Note: Negative values should be Indicated by a minus sign. Round your answers to 2 decimal places.
24
g
ⒸH: B₁ = B₂ = B3 = B4 = 0: HA: At least one B; > 0
OH: B₁ = B₂ = B3 = B4 = 0: M₂: At least one B; <0
ⒸH: B₁ = B₂ = B3 = B4 = 0: M₂: At least one B; = 0
b-1. At the 10% significance level, are the predictor variables jointly significant? First, specify the competing hypotheses.
Load +
Speed +
Oil
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