PokeyAnna
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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 ŷ = 2.3 + 5.73t. Collin 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.

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 representin class=

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Answer:

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.

Step-by-step explanation:

thats just what it is

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