Butler Trucking Company is engaged in the delivery of goods and merchandise to Southern California. To improve the work schedule, the managers want to estimate the total time traveled daily based on the number of deliveries and miles traveled. The information obtained is as follows: At a significance level of 5% we can state that: a) Individually and jointly the variables are significant. b) Individually they are not significant but as a whole they are. c) Individually they are significant but not as a whole. d) They are not significant individually and not as a whole. e) None of the above
Butler Trucking Company is engaged in the delivery of goods and merchandise to Southern California. To improve the work schedule, the managers want to estimate the total time traveled daily based on the number of deliveries and miles traveled. The information obtained is as follows: At a significance level of 5% we can state that: a) Individually and jointly the variables are significant. b) Individually they are not significant but as a whole they are. c) Individually they are significant but not as a whole. d) They are not significant individually and not as a whole. e) None of the above
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Butler Trucking Company is engaged in the delivery of goods and merchandise to Southern California. To improve the work schedule, the managers want to estimate the total time traveled daily based on the number of deliveries and miles traveled. The information obtained is as follows:
At a significance level of 5% we can state that:
a) Individually and jointly the variables are significant.
b) Individually they are not significant but as a whole they are.
c) Individually they are significant but not as a whole.
d) They are not significant individually and not as a whole.
e) None of the above
![The regression equation is
Time
0.869 + 0.0611 Miles + 0.923 Deliveries
Predictor
Сoef
SE Coef
T
Constant
-0.8687
0.9515
-0.91
0.392
Miles
0.061135
0.009888
6.18 0.000
Deliveries
0.9234
0.2211
4.18
0.004
S = 0.5731
R-sq
= 90.4%
R-sq(adj)
= 87.6%
Analysis of Variance
SOURCE
DF
SS
MS
F
Regression
Residual Error
2
21.601
10.800
32.88
0.000
7
2.299
0.328
Total
23.900](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffc392e15-5e79-4a50-a323-7207d19c9a4a%2F4fc927b2-4632-46bb-a13f-e565db327987%2Fv08bz3s_processed.png&w=3840&q=75)
Transcribed Image Text:The regression equation is
Time
0.869 + 0.0611 Miles + 0.923 Deliveries
Predictor
Сoef
SE Coef
T
Constant
-0.8687
0.9515
-0.91
0.392
Miles
0.061135
0.009888
6.18 0.000
Deliveries
0.9234
0.2211
4.18
0.004
S = 0.5731
R-sq
= 90.4%
R-sq(adj)
= 87.6%
Analysis of Variance
SOURCE
DF
SS
MS
F
Regression
Residual Error
2
21.601
10.800
32.88
0.000
7
2.299
0.328
Total
23.900
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