Refer to the previous question, the physics student used the regression model to predict that a force of 377.28N would be required to stretch the spring by 15cm. Remarkably, his prediction was horribly wrong. Can you explain why? (Check all that apply)
A. Correlation does not imply causation.
B. He made a prediction outside of the range of forces observed.
C. He made a prediction outside of the range of stretched distances measured.
D. He had outliers or influential points in his data.
E. None of the above

Respuesta :

The physics student predicted that a force of 377.28N would be needed to stretch the spring by 15 cm using the regression model.

The relevant points from the regression model are

B. He predicted something that was outside the range of forces seen.

C. He predicted something that was outside the range of stretched distances that were observed.

D. His data contained outliers or significant points.

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