The average remaining lifetimes for men of various ages in a certain country are given in the following table. Average Remaining Lifetimes for Men Age Years Years Age Years 0 74.8 65 17.4 15 59.8 75 11.0 35 42.1 Use the linear correlation coefficient to determine whether there is a strong correlation, at the level Irl > 0.9, between a man's age and the average remaining lifetime for that man. (A graphing calculator is recommended. Round your answer to three decimal places.) r = Yes, there is a strong correlation between a man's age and the average remaining lifetime for that man. O No, there is not a strong correlation between a man's age and the average remaining lifetime for that man.
The average remaining lifetimes for men of various ages in a certain country are given in the following table. Average Remaining Lifetimes for Men Age Years Years Age Years 0 74.8 65 17.4 15 59.8 75 11.0 35 42.1 Use the linear correlation coefficient to determine whether there is a strong correlation, at the level Irl > 0.9, between a man's age and the average remaining lifetime for that man. (A graphing calculator is recommended. Round your answer to three decimal places.) r = Yes, there is a strong correlation between a man's age and the average remaining lifetime for that man. O No, there is not a strong correlation between a man's age and the average remaining lifetime for that man.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
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