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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

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

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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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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