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

See similar textbooks

Similar questions

The correlation coefficient (r) measures O how many data points are shown on a scatterplot. O whether or not a scatterplot shows an interesting pattern. O whether a cause and effect relationship exists between two variables. O the strength and direction of the linear relationship between two quantitative variables.
ASSESSMENT Direction: Read, analyze and answer the following problems below. Show all necessary solutions. 1. The data below show the age and systolic blood pressure of six randomly selected subjects. Compute for the correlation coefficient and interpret the results. Age (x) Pressure (y) 43 48 56 61 67 70 128 120 135 143 141 152
The cost of a leading liquid laundry detergent in different sizes is given below Size (ounces) Cost ($) 16 3.99 32 4.99 64 5.99 200 10.99 A. Write a brief description of the association.B. What is the strength of the relationship between the size of the laundry detergent and the cost? Use the correlation coefficient in your explanation.C. State the model for the size of the laundry detergent and the cost.D. Interpret the slope of your model in context.E. Interpret the intercept of your model in context. F. In the context of the problem is it better to have a positive or negative residual. Explain. G. Use the linear model to predict the cost of 300 ounces of laundry detergent.
I need correlation coefficient ,test statistic , p value & conclusion pls help I need in an hour
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
choose the correct answer Given r = 0.945, the correlation scale indicates that _______ a. there is no correlation between the two variables.b. the correlation between the two variables is average.c. the correlation between the two variables is very high.d. the correlation between the two variables is very low.
Please use the values from the given r values and assign the accurate value to the plots A,B,C, or D.
Which correlation coefficient indicates that you have the strongest connection between the variables in the data? O r= 0.88 O r= -0.89 O r= 0.93 O r= -0.95 ent.mastensonnect.com/ Ipe bese to search
The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? 2425 Weight (Ib) Highway (mpg) 2725 2875 3480 4070 4090 3125 34 33 30 25 24 36 31 Which scatterplot below shows the data? O A. OB. C. O D. 40- 40- 40 20+ 2000 20- 2000 Weight (Ib) 20어 2000 20- 2000 Weight (Ib) 5000 5000 5000 5000 Weight (Ib) Weight (Ib) Is there a linear relationship between weight and highway mileage? O A. No, there appears to be no relationship. O B. Yes, as the weight increases the highway mileage increases. O C. No, there appears to be a relationship, but it is not linear. Click to select your answer. 4:21 PM a 17 梦 * v 6/4/2021 W 0 門 e Type here to search Chp ins prt sc delet fg ho ト f8 144 f6 10 f5 f4 IOI esc back & #3 $4 4 T. 6, 00 %24 (6 d) AamH 3. (B dw) Am
Which correlation would allows for the best prediction of Y based on X? Group of answer choices r = .50 r = .80 r = .05 r = -.90
Best choice
Match the linear correlation coefficient to the scatter diagram. r-0.764 Choose the correct graph below. OA. O B. c. OD. Explanatory Explanatory Explanatory Explanatory Response Response esponse Response

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS