The following data is available of estimated overhead costs using linear regression: t for H(0) Std. error Parameter Estimate Parameter = 0 Pr>t of parameter Intercept 100.41 4.81 0.0003 20.88 DLH 14.05 6.78 0.0001 2.07 R Square (R -) Standard Error (S) 0.80 25.03 Observations 17 Table of Selected Values: t Distribution Degrees of Freedom 90% 95% 99% 15 1.753 2.131 2.947 16 1.746 2.120 2.921 17 1.740 2.110 2.898 18 1.734 2.101 2.878 19 1.729 2.093 2.861 What is the interval around Y if 95 percent confidence is desired? O a. Y+ 52.8133 O b. Y# 20.024 OC.Y 53.33893 O d. Y+ 43.87759
The following data is available of estimated overhead costs using linear regression: t for H(0) Std. error Parameter Estimate Parameter = 0 Pr>t of parameter Intercept 100.41 4.81 0.0003 20.88 DLH 14.05 6.78 0.0001 2.07 R Square (R -) Standard Error (S) 0.80 25.03 Observations 17 Table of Selected Values: t Distribution Degrees of Freedom 90% 95% 99% 15 1.753 2.131 2.947 16 1.746 2.120 2.921 17 1.740 2.110 2.898 18 1.734 2.101 2.878 19 1.729 2.093 2.861 What is the interval around Y if 95 percent confidence is desired? O a. Y+ 52.8133 O b. Y# 20.024 OC.Y 53.33893 O d. Y+ 43.87759
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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The following data is available of estimated overhead costs using linear regression:
t for H(0)
Std. error
Parameter
Estimate
Parameter = 0
Pr>t
of parameter
Intercept
100.41
4.81
0.0003
20.88
DLH
14.05
6.78
0.0001
2.07
R Square (R 2)
Standard Error (S)
0.80
25.03
Observations
17
Table of Selected Values: t Distribution
Degrees of
Freedom
90%
95%
99%
15
1.753
2.131
2.947
16
1.746
2.120
2.921
17
1.740
2.110
2.898
18
1.734
2.101
2.878
19
1.729
2.093
2.861
What is the interval around Y if 95 percent confidence is desired?
O a. Y+ 52.8133
O b. Y# 20.024
OC. Y+ 53.33893
O d. Y+ 43.87759
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