Research reported the results of a study on the occurrence of oxygen and chloride in surface streams in central Washington state area. The following data are chloride concentration y (in milligrams per liter) and roadway area in the watershed x (in percentage) V 19.20 23.10 27.40 27.70 31.80 39.50 X 0.69 1.30 1.05 1.06 1.74 1.62 V 4.40 6.60 9.70 10.60 10.80 10.90 X 0.19 0.15 0.57 0.70 0.67 0.63 y 11.80 12.10 14.30 14.70 15.00 17.30 x 0.47 0.70 0.60 0.78 0.81 0.78 ✓ Find the associated residual ✓ Test the hypothesis, with a = 0.01 H₁: B₁ = 0 H₁: B₁0 #0 Estimate the standard errors in nß₁ ✓ Find a 99% prediction interval on chloride concentration when roadway area x = 1.0% A. 0.470+ 20.567x B. 13.81 C. Reject Ho D. 1.93591 E.= 0.0997 + 0.0414x F. Fail to reject Ho G. 10.14 H. (18.2066, 23.8694) 1. (9.8201, 32.2559) J. 2.14169 K. 1.6629 L. 21.038

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
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Research reported the results of a study on the occurrence of oxygen and chloride in surface streams in
central Washington state area. The following data are chloride concentration y (in milligrams per liter)
and roadway area in the watershed x (in percentage)
y
19.20
23.10
27.40
27.70
31.80
39.50
X
0.69
1.30
1.05
1.06
1.74
1.62
y
4.40
6.60
9.70
10.60
10.80
10.90
X
0.19
0.15
0.57
0.70
0.67
0.63
11.80
y
12.10
14.30
14.70
15.00
17.30
0.47
0.70
X
0.60
0.78
0.81
0.78
✓ Find the associated residual
✓ Test the hypothesis, with a = 0.01
H₁: B₁=
0
0
H₁: B₁0
✓ Estimate the standard errors in
¹B₁
✓ Find a 99% prediction interval on chloride concentration when roadway area x = 1.0%
A.
j =
= 0.470 + 20.567x
B. 13.81
C. Reject Ho
D. 1.93591
E.
· y = = 0.0997 + 0.0414x
F. Fail to reject Ho
G.10.14
H. (18.2066, 23.8694)
I. (9.8201, 32.2559)
J. 2.14169
K. 1.6629
L. 21.038
Transcribed Image Text:Research reported the results of a study on the occurrence of oxygen and chloride in surface streams in central Washington state area. The following data are chloride concentration y (in milligrams per liter) and roadway area in the watershed x (in percentage) y 19.20 23.10 27.40 27.70 31.80 39.50 X 0.69 1.30 1.05 1.06 1.74 1.62 y 4.40 6.60 9.70 10.60 10.80 10.90 X 0.19 0.15 0.57 0.70 0.67 0.63 11.80 y 12.10 14.30 14.70 15.00 17.30 0.47 0.70 X 0.60 0.78 0.81 0.78 ✓ Find the associated residual ✓ Test the hypothesis, with a = 0.01 H₁: B₁= 0 0 H₁: B₁0 ✓ Estimate the standard errors in ¹B₁ ✓ Find a 99% prediction interval on chloride concentration when roadway area x = 1.0% A. j = = 0.470 + 20.567x B. 13.81 C. Reject Ho D. 1.93591 E. · y = = 0.0997 + 0.0414x F. Fail to reject Ho G.10.14 H. (18.2066, 23.8694) I. (9.8201, 32.2559) J. 2.14169 K. 1.6629 L. 21.038
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