A pediatrician wants to determine the relation that may exist between a child's height and head circumference. Sherandomly selects 8 children from her practice, measures their height and head circumference, and obtains the datashown in the table. Complete parts (a) through (e) below.Height (in.) Head Circumference (in.) O27.2517.525.2516.9Click here to see the Table of Critical Values for Correlation Coefficient.26.517.325172817.626.2517.2Data Table26.2517.127.2517.3Critical Values for Correlation Coefficientn30.99740.9500.8780.81170.75480.7070.66610 0.63211 0.60212 0.57613 0.55314 0.53215 0.51416 0.49717 0.48218 0.46819 0.45620 0.44421 0.43322 0.42323 0.41324 0.40425 0.39626 0.38827 0.38128 0.37429 0.36730 0.361.....(1,1)Moren (b) Draw a scatter diagram. Choose the correct graph below.A.В.C.D.17.6-28-17.6-28-16.9-25Circ. (in.)25416.9Circ. (in.)16.92525416.92817.62817.6Height (in.)Height (in.)(c) Compute the linear correlation coefficient between the height and head circumference of a child.r =(Round to three decimal places as needed.)(d) Does a linear relation exist between height and head circumference? Select the correct choice below and fill in the answer box to complete your choice.(Round to three decimal places as needed.)O A. No, the variables height and head circumference are not linearly related because r is negative and the absolute value of the correlation coefficient is less than the critical value,.B. Yes, the variables height and head circumference are positively associated because r is positive and the absolute value of the correlation coefficient is greater than the critical value,C. No, the variables height and head circumference are not linearly related because r is positive and the absolute value of the correlation coefficient is less than the critical value,D. Yes, the variables height and head circumference are positively associated because r is negative and the absolute value of the correlation coefficient is greater than the critical value,Height (in.)Height (in.)Circ. (in.)Circ. (in.)

The correlation coefficient is the relation between variables and is between -1 and 1. -1 and 1…

Answered: A pediatrician wants to determine the…

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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Which value of r indicates a stronger correlation: r=0.797 or r= -0.922? Explain your reasoning. Choose the correct answer below. C ⒸA. r= -0.922 represents a stronger correlation because | -0.922|>10.7971. OB. r= -0.922 represents a stronger correlation because 0.797> -0.922. OC. r=0.797 represents a stronger correlation because 0.797 > -0.922. OD. r=0.797 represents a stronger correlation because | -0.922|>10.7971.
please solve A, B, and D ch 12
Which value of r indicates a stronger correlation: r= 0.841 or r= - 0.949? Explain your reasoning. Choose the correct answer below. O A. r= 0.841 represents a stronger correlation because -0.949 > 0.841|. B. r= - 0.949 represents a stronger correlation because -0.949|> |0.841|. C. r= - 0.949 represents a stronger correlation because 0.841 > - 0.949. D. r= 0.841 represents a stronger correlation because 0.841 > - 0.949.
Assume that you have paired values consisting of heights (in inches) and weights (in lb) from 40 randomly selected men. The linear correlation coefficient r is 0.567. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Question content area bottom Part 1 Choose the correct answer below. A. The coefficient of determination is 0.321. 32.1% of the variation is explained by the linear correlation, and 67.9% is explained by other factors. B. The coefficient of determination is 0.679. 67.9% of the variation is explained by the linear correlation, and 32.1% is explained by other factors. C. The coefficient of determination is 0.321. 67.9% of the variation is explained by the linear correlation, and 32.1% is explained by other factors. D. The coefficient of determination is 0.679. 32.1% of the variation is explained by the linear correlation, and 67.9% is…
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Use a graphing calculator to create a scatter plot and find the line of best fit and the correlation coefficient for the following data. Round to the nearest hundredth. X 2 4 6 8124 10 Part: 0/2 y 2 3 6 7 10 15 19
Please follow and copy the solution given in the example for the answer Thanks.
Given are 3 observations for two variables, x and y. 1 3 6 9 10 40 What is the value of the correlation coefficient? Select one: a. -0.83 O b. 0.83 c. -0.93 d. 0.93
Many people believe that crime rate declines with age. a) Use the data below to verify whether this is true using a scatterplot. b) Is the relationship between crime rate and age strong, medium, or weak? c) Can the correlation coefficient be used to measure the extent to which crime rate is related to age? E Click the icon to view the data. a) Choose the correct scatterplot below. O A. O B. OC. OD. 20,000- 20,000- 20,000- 20,000- 0- Age Age Age Age Does it appear that the crime rate declines with age? O A. The crime rate tends to gradually increase with age. B. The crime rate tends to increase until adulthood, after which it gradually declines. OC. The crime rate tends to increase until middle age, after which it gradually declines. O D. The crime rate tends to gradually decrease with age. b) Is the relationship between crime rate and age strong, medium, or weak? O A. The scatterplot appears to show a medium relationship. B. The scatterplot appears to show a weak relationship. O C. The…
A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 8 children from her practice, measures their height and head circumference, and obtains the data shown in the table. Complete parts (a) through (e) below. E Click here to see the Table of Critical Values for Correlation Coefficient. Height (in.) Head Circumference (in.) 27.5 17.2 25.5 17 26.25 17.1 25.25 17 27.5 17.6 26.25 17.4 25.75 17.1 26.75 17.4 (a) If the pediatrician wants to use height to predict head circumference, determine which variable is the explanatory variable and which is the response variable. Choose the correct answer below. The explanatory variable is head circumference and the response variable is height. The explanatory variable is height and the response variable is head circumference.
Find the correlation coefficient for the data set below. x 3, 5, 6, 7, 9 y 5, 1, 9, 7, 13
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