The following software output is based on the mortality rate (deaths per 100,000 people) and the education level (average number of years in school) for 58 U.S. cities.

Dependent variable is Mortality R-squared = 41.0%
s = 47.92 with 58 - 2 = 56 degrees of freedom

a) Comment on the assumptions for inference.
b) Is there evidence of a strong association between the level of Education in a city and the Mortality rate? Test an appropriate hypothesis and state your conclusion.
c) Can we conclude that getting more education is likely (on average) to prolong your life? Why or why not?
d) Find a 95% confidence interval for the slope of the true relationship.
e) Explain what your interval means.
f) Find a 95% confidence interval for the average Mortality rate in cities where the adult population completed an average of 12 years of school.

Transcribed Image Text:

Variable Count Mean StdDev Mortality 58 942.501 61.8490 Education 58 110328 0.793480 Variable Coefficient SE(Coeff) Intercept 493.2 88.48 Education -499202 8.000 1050 9.751 10.50 1125 12.00 Median Education (yr) 50t ...。.. . 900 930 960 990 10 -100 100 Residuals