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Restenosis-narrowing of blood vessels- often happens after coronary anioplasty , but precise prediction of which individuals will have this problem is problematic. In the study by simons, authors hypothesized the restenosis is more probable to happen if activated smooth muscle cells in coronary lesios at time of surgery are present. They utilized number of reactie nuclei in coronary lesions as the indicator of presence of activated smooth muscle cells. Number of reactive nuclei in lesions and degree of stenosis at follow up for 16 patients who underwent a 2nd angiography are listed here.
Patient
Degreee of Stenosis (%) at Follow-up
Number of Reactive Nuclei at initial Surgery
1
28
5
2
15
3
22
4
93
10
60
12
6
42
8
7
53
72
9
79
17
0
11
82
13
100
27
Are you doubtful of any of these data points? if so why does there show to be a linear relation between degree of stenosis and nuber of reactive nuclei? if there is explain relation. Are there any points which have a large influence on estimated regression line? If there are eliminated point with greatest leverage and refit equation. Is there much difference between two regression equations? Are there any points which have large standardized residucal? Describe why residuals are large for these points. Do you believe that simons have a promising lead for predicting which patients will feel restenosis?
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