ct the weight of a puppy at 14 weeks. this an example of, and is this method a best practice for prediction? Explain your reasoning. is is an example of extrapolation. Extrapolation is a best practice for prediction, as the prediction is accurate even the is is an example of extrapolation. Extrapolation is not a best practice for prediction, as the prediction is not accurate b
ct the weight of a puppy at 14 weeks. this an example of, and is this method a best practice for prediction? Explain your reasoning. is is an example of extrapolation. Extrapolation is a best practice for prediction, as the prediction is accurate even the is is an example of extrapolation. Extrapolation is not a best practice for prediction, as the prediction is not accurate b
Trigonometry (MindTap Course List)
10th Edition
ISBN:9781337278461
Author:Ron Larson
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ChapterP: Prerequisites
SectionP.4: Linear Equations In Two Variables
Problem 98E: Neurology The average weight of a male child’s brain is 970 grams at age 1 and 1270 grams at age 3....
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This is a probability and statistics math class please help me so I can get this correct and study
![The weight, y, in pounds, of puppies was tracked for the first 10 weeks after birth, where t represents the number of weeks after birth. The linear model representing this relationship is y=2.3 +5.73t. Diandra wanted
to predict the weight of a puppy at 14 weeks.
What is this an example of, and is this method a best practice for prediction? Explain your reasoning.
O This is an example of extrapolation. Extrapolation is a best practice for prediction, as the prediction is accurate even though 14 weeks is outside the given interval of 10 weeks.
O This is an example of extrapolation. Extrapolation is not a best practice for prediction, as the prediction is not accurate because 14 weeks is outside the given interval of 10 weeks.
O This is an example of linear modeling. Linear modeling is a best practice for prediction, as the prediction is accurate even though 14 weeks is outside the given interval of 10 weeks.
O This is an example of linear modeling. Linear modeling is not a best practice for prediction, as the prediction is not accurate because 14 weeks is outside the given interval of 10 weeks.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6af0e6ea-b76f-4e75-85a4-fb9abee79d35%2F51b1bcba-bf7d-4cf2-9308-75dc23f91238%2Fxv78z62_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The weight, y, in pounds, of puppies was tracked for the first 10 weeks after birth, where t represents the number of weeks after birth. The linear model representing this relationship is y=2.3 +5.73t. Diandra wanted
to predict the weight of a puppy at 14 weeks.
What is this an example of, and is this method a best practice for prediction? Explain your reasoning.
O This is an example of extrapolation. Extrapolation is a best practice for prediction, as the prediction is accurate even though 14 weeks is outside the given interval of 10 weeks.
O This is an example of extrapolation. Extrapolation is not a best practice for prediction, as the prediction is not accurate because 14 weeks is outside the given interval of 10 weeks.
O This is an example of linear modeling. Linear modeling is a best practice for prediction, as the prediction is accurate even though 14 weeks is outside the given interval of 10 weeks.
O This is an example of linear modeling. Linear modeling is not a best practice for prediction, as the prediction is not accurate because 14 weeks is outside the given interval of 10 weeks.
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