Refer to 9.3.4 below and Let X = 1.6 and construct the 95 percent confidence interval for μy|x and construct the 95 percent prediction interval for Y. 9.3.4 Reiss et al. (A-3) compared point-of-care and standard hospital laboratory assays for monitoring patients receiving a single anticoagulant or a regimen consisting of a combination of anticoagulants. It is quite common when comparing two measuring techniques, to use regression analysis in which one variable is used to predict another. In the present study, the researchers obtained measures of international normalized ratio (INR) by assay of capillary and venous blood samples collected from 90 subjects taking warfarin. INR, used especially when patients are receiving warfarin, measures the clotting ability of the blood. Point-of-care testing for INR was conducted with the CoaguChek assay product. Hospital testing was done with standard hospital laboratory assays. The authors used the hospital assay INR level to predict the CoaguChek INR level. The measurements are given in the following table. Y X 1.8 1.6 1.6 1.9 2.5 2.8 1.9 2.4 1.3 1.5 2.3 1.8 1.2 1.3 2.3 2.4 2 2.1 1.5 1.5 2.1 2.4 1.5 1.5 1.5 1.7 1.8 2.1 1 1.2 2.1 1.9 1.6 1.6 1.7 1.6 2 1.9 1.8 1.6 1.3 4.1 1.5 1.9 3.6 2.1 2.4 2.2 2.2 2.3 2.7 2.2 2.9 3.1 2 2.2 1 1.2 2.4 2.6 2.4 1.2 2.3 2.3 2 1.6 3.3 3.8 1.9 1.6 1.8 1.5 2.8 1.8 2.5 1.5 0.8 1 1.3 1.2 3.7 1.4 2.4 1.6 4.1 3.2 2.4 1.2 2.3 2.3 3.1 1.6 1.5 1.4 3.6 2.1 2.5 1.7 2.1 1.7 1.8 1.2 1.5 1.3 2.5 1.1 1.5 1.2 1.5 1.1 1.6 1.2 1.4 1.4 4 2.3 2 1.2 2.5 1.5 3.1 2.4 1.7 1.8 1.8 1.6 1.9 1.7 5.3 4.2 1.6 1.6 1.6 1.4 3.3 3.3 1.5 1.5 2.2 2.8 1.1 1.6 2.6 2.6 6.4 5 1.5 1.4 3 2.8 2.6 2.3 1.2 1.2 2.1 1.9 1.1 1.1 1 1 1.4 1.5 1.7 1.3 1.2 1.1 2.5 2.4 1.2 1.3 2.5 2.9 1.9 1.7 1.8 1.7 1.2 1.1 1.3 1.1

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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Refer to 9.3.4 below and Let X = 1.6 and construct the 95 percent confidence interval for μy|x and construct the 95 percent prediction interval for Y.

9.3.4 Reiss et al. (A-3) compared point-of-care and standard hospital laboratory assays for monitoring patients receiving a single anticoagulant or a regimen consisting of a combination of anticoagulants. It is quite common when comparing two measuring techniques, to use regression analysis in which one variable is used to predict another. In the present study, the researchers obtained measures of international normalized ratio (INR) by assay of capillary and venous blood samples collected from 90 subjects taking warfarin. INR, used especially when patients are receiving warfarin, measures the clotting ability of the blood. Point-of-care testing for INR was conducted with the CoaguChek assay product. Hospital testing was done with standard hospital laboratory assays. The authors used the hospital assay INR level to predict the CoaguChek INR level. The measurements are given in the following table.

Y	X
1.8	1.6
1.6	1.9
2.5	2.8
1.9	2.4
1.3	1.5
2.3	1.8
1.2	1.3
2.3	2.4
2	2.1
1.5	1.5
2.1	2.4
1.5	1.5
1.5	1.7
1.8	2.1
1	1.2
2.1	1.9
1.6	1.6
1.7	1.6
2	1.9
1.8	1.6
1.3	4.1
1.5	1.9
3.6	2.1
2.4	2.2
2.2	2.3
2.7	2.2
2.9	3.1
2	2.2
1	1.2
2.4	2.6
2.4	1.2
2.3	2.3
2	1.6
3.3	3.8
1.9	1.6
1.8	1.5
2.8	1.8
2.5	1.5
0.8	1
1.3	1.2
3.7	1.4
2.4	1.6
4.1	3.2
2.4	1.2
2.3	2.3
3.1	1.6
1.5	1.4
3.6	2.1
2.5	1.7
2.1	1.7
1.8	1.2
1.5	1.3
2.5	1.1
1.5	1.2
1.5	1.1
1.6	1.2
1.4	1.4
4	2.3
2	1.2
2.5	1.5
3.1	2.4
1.7	1.8
1.8	1.6
1.9	1.7
5.3	4.2
1.6	1.6
1.6	1.4
3.3	3.3
1.5	1.5
2.2	2.8
1.1	1.6
2.6	2.6
6.4	5
1.5	1.4
3	2.8
2.6	2.3
1.2	1.2
2.1	1.9
1.1	1.1
1	1
1.4	1.5
1.7	1.3
1.2	1.1
2.5	2.4
1.2	1.3
2.5	2.9
1.9	1.7
1.8	1.7
1.2	1.1
1.3	1.1

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Y	X
1.8	1.6
1.6	1.9
2.5	2.8
1.9	2.4
1.3	1.5
2.3	1.8
1.2	1.3
2.3	2.4
2	2.1
1.5	1.5
2.1	2.4
1.5	1.5
1.5	1.7
1.8	2.1
1	1.2
2.1	1.9
1.6	1.6
1.7	1.6
2	1.9
1.8	1.6
1.3	4.1
1.5	1.9
3.6	2.1
2.4	2.2
2.2	2.3
2.7	2.2
2.9	3.1
2	2.2
1	1.2
2.4	2.6
2.4	1.2
2.3	2.3
2	1.6
3.3	3.8
1.9	1.6
1.8	1.5
2.8	1.8
2.5	1.5
0.8	1
1.3	1.2
3.7	1.4
2.4	1.6
4.1	3.2
2.4	1.2
2.3	2.3
3.1	1.6
1.5	1.4
3.6	2.1
2.5	1.7
2.1	1.7
1.8	1.2
1.5	1.3
2.5	1.1
1.5	1.2
1.5	1.1
1.6	1.2
1.4	1.4
4	2.3
2	1.2
2.5	1.5
3.1	2.4
1.7	1.8
1.8	1.6
1.9	1.7
5.3	4.2
1.6	1.6
1.6	1.4
3.3	3.3
1.5	1.5
2.2	2.8
1.1	1.6
2.6	2.6
6.4	5
1.5	1.4
3	2.8
2.6	2.3
1.2	1.2
2.1	1.9
1.1	1.1
1	1
1.4	1.5
1.7	1.3
1.2	1.1
2.5	2.4
1.2	1.3
2.5	2.9
1.9	1.7
1.8	1.7
1.2	1.1
1.3	1.1

Y	X
1.8	1.6
1.6	1.9
2.5	2.8
1.9	2.4
1.3	1.5
2.3	1.8
1.2	1.3
2.3	2.4
2	2.1
1.5	1.5
2.1	2.4
1.5	1.5
1.5	1.7
1.8	2.1
1	1.2
2.1	1.9
1.6	1.6
1.7	1.6
2	1.9
1.8	1.6
1.3	4.1
1.5	1.9
3.6	2.1
2.4	2.2
2.2	2.3
2.7	2.2
2.9	3.1
2	2.2
1	1.2
2.4	2.6
2.4	1.2
2.3	2.3
2	1.6
3.3	3.8
1.9	1.6
1.8	1.5
2.8	1.8
2.5	1.5
0.8	1
1.3	1.2
3.7	1.4
2.4	1.6
4.1	3.2
2.4	1.2
2.3	2.3
3.1	1.6
1.5	1.4
3.6	2.1
2.5	1.7
2.1	1.7
1.8	1.2
1.5	1.3
2.5	1.1
1.5	1.2
1.5	1.1
1.6	1.2
1.4	1.4
4	2.3
2	1.2
2.5	1.5
3.1	2.4
1.7	1.8
1.8	1.6
1.9	1.7
5.3	4.2
1.6	1.6
1.6	1.4
3.3	3.3
1.5	1.5
2.2	2.8
1.1	1.6
2.6	2.6
6.4	5
1.5	1.4
3	2.8
2.6	2.3
1.2	1.2
2.1	1.9
1.1	1.1
1	1
1.4	1.5
1.7	1.3
1.2	1.1
2.5	2.4
1.2	1.3
2.5	2.9
1.9	1.7
1.8	1.7
1.2	1.1
1.3	1.1

Y	X
1.8	1.6
1.6	1.9
2.5	2.8
1.9	2.4
1.3	1.5
2.3	1.8
1.2	1.3
2.3	2.4
2	2.1
1.5	1.5
2.1	2.4
1.5	1.5
1.5	1.7
1.8	2.1
1	1.2
2.1	1.9
1.6	1.6
1.7	1.6
2	1.9
1.8	1.6
1.3	4.1
1.5	1.9
3.6	2.1
2.4	2.2
2.2	2.3
2.7	2.2
2.9	3.1
2	2.2
1	1.2
2.4	2.6
2.4	1.2
2.3	2.3
2	1.6
3.3	3.8
1.9	1.6
1.8	1.5
2.8	1.8
2.5	1.5
0.8	1
1.3	1.2
3.7	1.4
2.4	1.6
4.1	3.2
2.4	1.2
2.3	2.3
3.1	1.6
1.5	1.4
3.6	2.1
2.5	1.7
2.1	1.7
1.8	1.2
1.5	1.3
2.5	1.1
1.5	1.2
1.5	1.1
1.6	1.2
1.4	1.4
4	2.3
2	1.2
2.5	1.5
3.1	2.4
1.7	1.8
1.8	1.6
1.9	1.7
5.3	4.2
1.6	1.6
1.6	1.4
3.3	3.3
1.5	1.5
2.2	2.8
1.1	1.6
2.6	2.6
6.4	5
1.5	1.4
3	2.8
2.6	2.3
1.2	1.2
2.1	1.9
1.1	1.1
1	1
1.4	1.5
1.7	1.3
1.2	1.1
2.5	2.4
1.2	1.3
2.5	2.9
1.9	1.7
1.8	1.7
1.2	1.1
1.3	1.1