Problem 51
Education and mortality The software output below 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. Variable Count Mean StdDev Mortality 58 942.501 61.8490 Education 58 11.0328 0.793480 Dependent variable is: Mortality R-squared = 41.0% s = 47.92 with 58 - 2 = 56 degrees of freedom Variable Coefficient SE(Coeff) Intercept 1493.26 88.48 Education -49.9202 8.000 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.

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HSA 3111 Exam #1 Study Guide Chapter 1: An Overview of US Health Care Delivery The primary objectives of a healthcare system include all of the following except: . Enabling all citizens to receive healthcare services . Delivering healthcare services that are cost-effective . Delivering healthcare services using the most current technology, regardless of cost . Delivering healthcare services that meet established standards of quality The U.S. healthcare system can best be described as: . Expensive . Fragmented . Market-oriented . All of the above For most privately insured Americans, health insurance is: . Employer-based . Financed b

Stats Modeling the World was written by and is associated to the ISBN: 9780321854018. The answer to “Education and mortality The software output below 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. Variable Count Mean StdDev Mortality 58 942.501 61.8490 Education 58 11.0328 0.793480 Dependent variable is: Mortality R-squared = 41.0% s = 47.92 with 58 - 2 = 56 degrees of freedom Variable Coefficient SE(Coeff) Intercept 1493.26 88.48 Education -49.9202 8.000 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.” is broken down into a number of easy to follow steps, and 170 words. This textbook survival guide was created for the textbook: Stats Modeling the World, edition: 4. This full solution covers the following key subjects: . This expansive textbook survival guide covers 31 chapters, and 1357 solutions. The full step-by-step solution to problem: 51 from chapter: 26 was answered by , our top Statistics solution expert on 03/16/18, 04:57PM. Since the solution to 51 from 26 chapter was answered, more than 227 students have viewed the full step-by-step answer.