Mathematics, 07.05.2021 01:00, paxbro3986
A. The prediction cannot be correct because a negative weight does not make sense. The width in this case is beyond the scope of the available sample data. B. The prediction cannot be correct because a negative weight does not make sense and because there is not sufficient evidence of a linear correlation. C. The prediction cannot be correct because there is not sufficient evidence of a linear correlation. The width in this case is beyond the scope of the available sample data. D. The prediction can be correct. There is nothing wrong with predicting the weight in this case.
Answers: 1
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A. The prediction cannot be correct because a negative weight does not make sense. The width in this...
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