Does exposure to air pollution result in decreased life expectancy? This question was examined in the article

“Does Air Pollution Shorten Lives?” (Statistics and Public Policy, Reading, MA, Addison-Wesley, 1977). Data on for the year 1960 was recorded for randomly selected standard metropolitan statistical areas. The estimated regression equation was

a. For this model, . Using a .05 significance level, perform a model utility test.

b. The estimated standard deviation of was .016.

Calculate and interpret a 90% CI for b1.

c. Given that the estimated standard deviation of is .007, determine whether percent nonwhite is an important variable in the model. Use a .01 significance level.

d. In 1960, the values of x1, x2, x3, x4, and x5 for Pittsburgh were 166, 60, 788, 68, and 95, respectively. Use the given regression equation to predict Pittsburgh’s mortality rate. How does your prediction compare with the actual 1960 value of 103 deaths per 10,000?