surface streams Research reported the results of a study on the occurrence oxygen and 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 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 12.10 14.30 14.70 15.00 17.30 X 0.47 0.70 0.60 0.78 0.81 0.78 Fit the simple linear regression model using the method of least squares A.ỹ = 0.470+ 20.567x B.y = 0.0997 + 0.0414x Find an estimate of 2 C. 10.14 Estimate the mean chloride concentration for a watershed that has 1% roadway area D. 13.81 Find the fitted value corresponding to x = 0.47 E. Fail to reject Ho Find the associated residual F. 2.14169 Test the hypothesis, with a = 0.01 G. (18.2066, 23.8694) H₁: B₁=0 H₁: B₁ 0 H. (9.8201, 32.2559) I. Reject Ho Estimate the standard errors in J. 1.6629 Find a 99% prediction interval on chloride concentration when roadway area x = 1.0% K. 1.93591 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
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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
12.10
y
14.30
14.70
15.00
17.30
X
0.47
0.70
0.60
0.78
0.81
0.78
A. 0.470+ 20.567x
Fit the simple linear regression model using the method of least
squares
B.y=0.0997 + 0.0414x
Find an estimate of 2
C. 10.14
Estimate the mean chloride concentration for a watershed that
has 1% roadway area
D. 13.81
✓ Find the fitted value corresponding to x = 0.47
E. Fail to reject Ho
Find the associated residual
F. 2.14169
Test the hypothesis, with a = 0.01
G. (18.2066, 23.8694)
H. (9.8201, 32.2559)
H₁: B₁ = 0
H₁: B₁0
1. Reject Ho
Estimate the standard errors in
J. 1.6629
Find a 99% prediction interval on chloride concentration when
roadway area x = 1.0%
K. 1.93591
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 12.10 y 14.30 14.70 15.00 17.30 X 0.47 0.70 0.60 0.78 0.81 0.78 A. 0.470+ 20.567x Fit the simple linear regression model using the method of least squares B.y=0.0997 + 0.0414x Find an estimate of 2 C. 10.14 Estimate the mean chloride concentration for a watershed that has 1% roadway area D. 13.81 ✓ Find the fitted value corresponding to x = 0.47 E. Fail to reject Ho Find the associated residual F. 2.14169 Test the hypothesis, with a = 0.01 G. (18.2066, 23.8694) H. (9.8201, 32.2559) H₁: B₁ = 0 H₁: B₁0 1. Reject Ho Estimate the standard errors in J. 1.6629 Find a 99% prediction interval on chloride concentration when roadway area x = 1.0% K. 1.93591 L. 21.038
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