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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)

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.

Interpret the slope of the least squares regression line, in the context of the situation.

If it would make sense, provide a clear interpretation of the intercept of the regression line, in context. Otherwise, explain why the interpretation does not make sense.

Predict the body mass of a porcupine that is 51 cm long. Report your answer using one decimal place.

One of the porcupines in the dataset had a body length of 51 cm and a body mass of 5,281 g. Calculate the residual for this porcupine. Use one decimal place in your calculation.


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