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A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 8 children, measures their height and head circumference, and obtains the data shown in the table. Height Head Circumference. (inches) (inches) 27.5 25.75 26.5 25.25 27.5 26.75 17.3 16.9 17.3 16.9 17.5 17.4 26 27 25 D 17.1 17.3 Click here to see the Table of Critical Values for Correlation Coefficient (d) Determine if a linear relation exists between height and head circumference (Note that the linear correlation coefficient between the height and head circumference of a child is r=0.888) Find the critical value The critical value is (Round to three decimal places as needed.) Does a linear relation exist between height and head circumference? OA. Yes, there appears to be a positive linear association because ris positive and is greater than the critical value. OB. Yes, there appears to be a positive linear association because r is positive and is less than the critical value. OC. Yes, there appears to be a negative linear association because r is negative and is less than the negative of the critical value OD. No, there is no linear association since r is positive and is less than the critical value

A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 8 children, measures their height and head circumference, and obtains the data shown in the table. Height Head Circumference. (inches) (inches) 27.5 25.75 26.5 25.25 27.5 26.75 17.3 16.9 17.3 16.9 17.5 17.4 26 27 25 D 17.1 17.3 Click here to see the Table of Critical Values for Correlation Coefficient (d) Determine if a linear relation exists between height and head circumference (Note that the linear correlation coefficient between the height and head circumference of a child is r=0.888) Find the critical value The critical value is (Round to three decimal places as needed.) Does a linear relation exist between height and head circumference? OA. Yes, there appears to be a positive linear association because ris positive and is greater than the critical value. OB. Yes, there appears to be a positive linear association because r is positive and is less than the critical value. OC. Yes, there appears to be a negative linear association because r is negative and is less than the negative of the critical value OD. No, there is no linear association since r is positive and is less than the critical value

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The rest of the critical values for correlation coefficient for 29 is 0.367 and for 30 is 0.361

plug 29 and 30 to the picture I sent for the rest of the table

iti Critical Values for Correlation Coefficient n 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 Print 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 Done X
Transcribed Image Text:iti Critical Values for Correlation Coefficient n 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 Print 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 Done X
A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 8 children, measures their height and head circumference, and obtains the data shown in the table. Height Head Circumference (inches) (inches) 27.5 25.75 26.5 25.25 27.5 26.75 26 27.25 17.3 16.9 17.3 16.9 17.5 17.4 17.1 17.3 Click here to see the Table of Critical Values for Correlation Coefficient. (d) Determine if a linear relation exists between height and head circumference. (Note that the linear correlation coefficient between the height and head circumference of a child is r=0.888) Find the critical value The critical value is (Round to three decimal places as needed.) Does a linear relation exist between height and head circumference? QA. Yes, there appears to be a positive linear association because ris positive and is greater than the critical value. OB. Yes, there appears to be a positive linear association because r is positive and is less than the critical value. OC. Yes, there appears to be a negative linear association because ris negative and is less than the negative of the critical value. OD. No, there is no linear association since r is positive and is less than the critical value
Transcribed Image Text:A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 8 children, measures their height and head circumference, and obtains the data shown in the table. Height Head Circumference (inches) (inches) 27.5 25.75 26.5 25.25 27.5 26.75 26 27.25 17.3 16.9 17.3 16.9 17.5 17.4 17.1 17.3 Click here to see the Table of Critical Values for Correlation Coefficient. (d) Determine if a linear relation exists between height and head circumference. (Note that the linear correlation coefficient between the height and head circumference of a child is r=0.888) Find the critical value The critical value is (Round to three decimal places as needed.) Does a linear relation exist between height and head circumference? QA. Yes, there appears to be a positive linear association because ris positive and is greater than the critical value. OB. Yes, there appears to be a positive linear association because r is positive and is less than the critical value. OC. Yes, there appears to be a negative linear association because ris negative and is less than the negative of the critical value. OD. No, there is no linear association since r is positive and is less than the critical value
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