Medical researchers tested a new method of typing blood using low-cost paper. The researchers applied blood drops to the paper and recorded the rate of absorption (called blood wicking). The table gives the wicking lengths (millimeters) for six blood drops, each at a different antibody concentration. Let y = wicking length and x = antibody concentration. Droplet Length Concentration 1 22.50 0.0 16.00 0.2 3 13.50 0.4 4 14.00 0.6 5 13.75 0.8 6 12.50 1.0 (1) Give the equation of the fitted regression model. bị: (Round off to 4 decimal places) bo: (Round off to 4 decimal places)

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Medical researchers tested a new method of typing blood using low-cost paper. The researchers applied blood drops to the paper and recorded the rate of absorption
(called blood wicking). The table gives the wicking lengths (millimeters) for six blood drops, each at a different antibody concentration. Let y = wicking length and x =
antibody concentration.
Droplet
Length
Concentration
1
22.50
0.0
2
16.00
0.2
3
13.50
0.4
14.00
0.6
5
13.75
0.8
6
12.50
1.0
(1) Give the equation of the fitted regression model.
b1: (Round off to 4 decimal places)
bo: (Round off to 4 decimal places)
(2) Test the hypothesis that the Bo = 20 versus Bo < 20 using a=0.1.
Test Statistic (Round off to 2 decimal places):
Conclusion:
(Type 'Reject HO' or 'Fail to Reject HO')
(3) Construct the ANOVA table to test Bo = 0 versus Bo + 0 using a=0.05. (Show in Solution)
(4) Find the coefficient of determination. (Round off to 4 decimal places)
Transcribed Image Text:Medical researchers tested a new method of typing blood using low-cost paper. The researchers applied blood drops to the paper and recorded the rate of absorption (called blood wicking). The table gives the wicking lengths (millimeters) for six blood drops, each at a different antibody concentration. Let y = wicking length and x = antibody concentration. Droplet Length Concentration 1 22.50 0.0 2 16.00 0.2 3 13.50 0.4 14.00 0.6 5 13.75 0.8 6 12.50 1.0 (1) Give the equation of the fitted regression model. b1: (Round off to 4 decimal places) bo: (Round off to 4 decimal places) (2) Test the hypothesis that the Bo = 20 versus Bo < 20 using a=0.1. Test Statistic (Round off to 2 decimal places): Conclusion: (Type 'Reject HO' or 'Fail to Reject HO') (3) Construct the ANOVA table to test Bo = 0 versus Bo + 0 using a=0.05. (Show in Solution) (4) Find the coefficient of determination. (Round off to 4 decimal places)
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