Data on pollution and cost of medical care for elderly people were given in Exercise 5.17 and are also shown here. The following data give a measure of pollution (micrograms of particulate matter per cubic meter of air) and the cost of medical care per person over age 65 for six geographic regions of the United States: Cost of Medical Region Pollution Care North 30.0 915 Upper South Deep South West South 31.8 891 32.1 968 26.8 972 Big Sky 30.4 952 West 40.0 899 The equation of the least-squares regression line for this data set is where y = 1082.2 - 4.691 ! medical cost and x ! pollution. a. Compute the six residuals. b. What is the value of the correlation coefficient for this data set? Does the value of r indicate that the linear relationship between pollution and medical cost is strong, moderate, or weak? Explain.

Data on pollution and cost of medical care for elderly people were given in Exercise 5.17 and are also shown here. The following data give a measure of pollution (micrograms of particulate matter per cubic meter of air) and the cost of medical care per person over age 65 for six geographic regions of the United States: Cost of Medical Region Pollution Care North 30.0 915 Upper South Deep South West South 31.8 891 32.1 968 26.8 972 Big Sky 30.4 952 West 40.0 899 The equation of the least-squares regression line for this data set is where y = 1082.2 - 4.691 ! medical cost and x ! pollution. a. Compute the six residuals. b. What is the value of the correlation coefficient for this data set? Does the value of r indicate that the linear relationship between pollution and medical cost is strong, moderate, or weak? Explain.

Engineering Fundamentals: An Introduction to Engineering (MindTap Course List)

5th Edition

ISBN:9781305084766

Author:Saeed Moaveni

Publisher:Saeed Moaveni

Chapter13: Energy And Power

Section: Chapter Questions

Problem 12P

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