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In a Random Sample of Large Cities Around the World

Question 34

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In a random sample of large cities around the world, the ozone level (in parts per million) and the population (in millions) were measured. Fitting the simple linear regression model gave the estimated regression equation In a random sample of large cities around the world, the ozone level (in parts per million) and the population (in millions) were measured. Fitting the simple linear regression model gave the estimated regression equation . a) How would you interpret b = 16.6? b) Substituting x = 3 gives = 58.69. Give two different interpretations of this number. c) Do you think this equation should be used for predicting ozone in small towns in Iowa? Explain your response in a few sentences. d) The value of r<sup>2</sup> is not presented here, but explain how you would interpret r<sup>2</sup> in the context of this problem. .
a) How would you interpret b = 16.6?
b) Substituting x = 3 gives In a random sample of large cities around the world, the ozone level (in parts per million) and the population (in millions) were measured. Fitting the simple linear regression model gave the estimated regression equation . a) How would you interpret b = 16.6? b) Substituting x = 3 gives = 58.69. Give two different interpretations of this number. c) Do you think this equation should be used for predicting ozone in small towns in Iowa? Explain your response in a few sentences. d) The value of r<sup>2</sup> is not presented here, but explain how you would interpret r<sup>2</sup> in the context of this problem. = 58.69. Give two different interpretations of this number.
c) Do you think this equation should be used for predicting ozone in small towns in Iowa? Explain your response in a few sentences.
d) The value of r2 is not presented here, but explain how you would interpret r2 in the context of this problem.

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a) For each additional million people in...

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