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 r² is not presented here, but explain how you would interpret r² in the context of this problem.

Question

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 r² is not presented here, but explain how you would interpret r² in the context of this problem.

Quizplus · Accepted Answer

The Answer of 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 r² is not presented here, but explain how you would interpret r² in the context of this problem.

In a Random Sample of Large Cities Around the World