The weight, y, in pounds, of kittens was tracked for the first 8 weeks after birth, where t represents the number of weeks after birth. The linear model representing this relationship is ŷ = 1.7+1.48t. David wanted to predict the weight of a kitten at 10 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 10 weeks is outside the given interval of 8 weeks. O This is an example of extrapolation. Extrapolation is not a best practice for prediction, as the prediction is not accurate because 10 weeks is outside the given interval of 8 weeks. O This is an example of linear modeling. Linear modeling is a best practice for prediction, as the prediction is accurate even though 10 weeks is outside the given interval of 8 weeks.
The weight, y, in pounds, of kittens was tracked for the first 8 weeks after birth, where t represents the number of weeks after birth. The linear model representing this relationship is ŷ = 1.7+1.48t. David wanted to predict the weight of a kitten at 10 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 10 weeks is outside the given interval of 8 weeks. O This is an example of extrapolation. Extrapolation is not a best practice for prediction, as the prediction is not accurate because 10 weeks is outside the given interval of 8 weeks. O This is an example of linear modeling. Linear modeling is a best practice for prediction, as the prediction is accurate even though 10 weeks is outside the given interval of 8 weeks.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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I’m taking a probability and statistics class please get this correct because I’ve gotten wrong answers before
Transcribed Image Text:The weight, y, in pounds, of kittens was tracked for the first 8 weeks after birth, where t represents the number of weeks
after birth. The linear model representing this relationship is ý = 1.7+1.48t. David wanted to predict the weight of a kitten
at 10 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 10 weeks is outside the given interval of 8 weeks.
O This is an example of extrapolation. Extrapolation is not a best practice for prediction, as the prediction is not
accurate because 10 weeks is outside the given interval of 8 weeks.
O This is an example of linear modeling. Linear modeling is a best practice for prediction, as the prediction is
accurate even though 10 weeks is outside the given interval of 8 weeks.
O This is an example of linear modeling. Linear modeling is not a best practice for prediction, as the prediction
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