Use the following to answer the questions below:
A biologist collected data on a sample of 20 porcupines. She wants to be able to predict the body mass of a porcupine (in grams) based on the length of the porcupine (in cm).
Her least squares regression equation is where M is the mass.
-Another variable that the biologist recorded was the chest circumference (in cm) of the porcupines. Explain what both a negative and a positive association between body mass and chest circumference would mean. Which is more plausible in this situation?

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Use the following to answer the questions below:
A biologist collected data on a sample of 20 porcupines. She wants to be able to predict the body mass of a porcupine (in grams) based on the length of the porcupine (in cm). 
Her least squares regression equation is  where M is the mass.
-Another variable that the biologist recorded was the chest circumference (in cm) of the porcupines. Explain what both a negative and a positive association between body mass and chest circumference would mean. Which is more plausible in this situation?

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The Answer of Use the following to answer the questions below:
A biologist collected data on a sample of 20 porcupines. She wants to be able to predict the body mass of a porcupine (in grams) based on the length of the porcupine (in cm). 
Her least squares regression equation is  where M is the mass.
-Another variable that the biologist recorded was the chest circumference (in cm) of the porcupines. Explain what both a negative and a positive association between body mass and chest circumference would mean. Which is more plausible in this situation?

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