Before surgical removal of a diseased parathyroid gland, two tests are often performed: the standard intact test and the turbo test. Both tests measure parathyroid hormone (PTH, in ng/l), but the turbo test is very expensive. Researchers obtained data from both tests in a sample of 48 patients to predict turbo test results (y) from standard intact test results (x). The data ranged from roughly O to 500 ng/l, and a scatterplot showed a clear linear relationship. The published findings given are summarized exactly: y = 1.08x-4.36(r = 0.97; n = 48) Roughly what percent of the variation in turbo test results can be explained by this regression model?

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Before surgical removal of a diseased parathyroid gland, two tests are often performed: the standard intact test and the turbo test.
Both tests measure parathyroid hormone (PTH, in ng/l), but the turbo test is very expensive. Researchers obtained data from both
tests in a sample of 48 patients to predict turbo test results (y) from standard intact test results (x). The data ranged from roughly
O to 500 ng/l, and a scatterplot showed a clear linear relationship. The published findings given are summarized exactly:
y = 1.08x-4.36(r = 0.97; n = 48)
Roughly what percent of the variation in turbo test results can be explained by this regression model?
It is not possible to answer with the information provided.
94%
98.5%
97%
Transcribed Image Text:Before surgical removal of a diseased parathyroid gland, two tests are often performed: the standard intact test and the turbo test. Both tests measure parathyroid hormone (PTH, in ng/l), but the turbo test is very expensive. Researchers obtained data from both tests in a sample of 48 patients to predict turbo test results (y) from standard intact test results (x). The data ranged from roughly O to 500 ng/l, and a scatterplot showed a clear linear relationship. The published findings given are summarized exactly: y = 1.08x-4.36(r = 0.97; n = 48) Roughly what percent of the variation in turbo test results can be explained by this regression model? It is not possible to answer with the information provided. 94% 98.5% 97%
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