John's parents recorded his height at various ages up to 66 months. They decide to use the least- squares regression line of John's height on age to predict his height at age 21 years (252 months). We conclude: OJohn's height, in inches, should be about half his age, in months. O such a prediction could be misleading, because it involves extrapolation. O that the parents will get a fairly accurate estimate of his height at age 21 years because the data are clearly correlated. none of the above.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
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John's parents recorded his height at various ages up to 66 months. They decide to use the least-
squares regression line of John's height on age to predict his height at age 21 years (252 months).
We conclude:
O John's height, in inches, should be about half his age, in months.
O such a prediction could be misleading, because it involves extrapolation.
O that the parents will get a fairly accurate estimate of his height at age 21 years because the
data are clearly correlated.
none of the above.
Transcribed Image Text:John's parents recorded his height at various ages up to 66 months. They decide to use the least- squares regression line of John's height on age to predict his height at age 21 years (252 months). We conclude: O John's height, in inches, should be about half his age, in months. O such a prediction could be misleading, because it involves extrapolation. O that the parents will get a fairly accurate estimate of his height at age 21 years because the data are clearly correlated. none of the above.
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