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: John's height, in inches, should be about half his age, in months. that the parents will get a fairly accurate estimate of his height at age 21 years because the data are clearly correlated. such a prediction could be misleading because it involves extrapolation (predicting beyond the scope of the model). none of the above.

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...

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:

John's height, in inches, should be about half his age, in months.

that the parents will get a fairly accurate estimate of his height at age 21 years because the data are clearly correlated.

such a prediction could be misleading because it involves extrapolation (predicting beyond the scope of the model).

none of the above.

Jun 02, 2022

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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...

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