In a sample of 300 steel rods, the correlation coefficient between diameter and length was r = 0.15. a. Find the P-value for testing : ? ≤ 0 versus : ? > 0. Can you conclude that ? > 0? b. Does the result in part (a) allow you to conclude that there is a strong correlation between diameter and length? Explain

In a sample of 300 steel rods, the correlation coefficient between diameter and length was r = 0.15. a. Find the P-value for testing : ? ≤ 0 versus : ? > 0. Can you conclude that ? > 0? b. Does the result in part (a) allow you to conclude that there is a strong correlation between diameter and length? Explain

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 23PFA

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In a sample of 300 steel rods, the correlation coefficient between diameter and length was r = 0.15.

a. Find the P-value for testing : ? ≤ 0 versus : ? > 0. Can you conclude that ? > 0?

b. Does the result in part (a) allow you to conclude that there is a strong correlation between diameter and length? Explain.

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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