A pediatrician wants to determine the relation that may exist between achild's height and head circumference. She randomly selects 8 children,measures their height and head circumference, and obtains the data shownin the table.(d) Determine if a linear relation exists between height and headcircumference. (Note that the linear correlation coefficient between theheight and head circumference of a child is r= 0.798.)Find the critical value.Height(inches) (inches)Head CircumferenceThe critical value is27.517.3(Round to three decimal places as needed.)2517.12617.225.251727.2517.626.7517.425.7517.227.2517.3

The independent variable is Height. The dependent variable is Head Circumference. We have to find…

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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A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects eleven 3-year-old children from her practice and measures their heights and head circumference. According to the data, the linear correlation coefficient between the height and head circumference of a child is 0.918. Compute the coefficient of determination, R². A. 91.8% O B. 84.3% OC. 82.6% O D. 8.2%
Describe the relationship between x and y in a positive correlation and in a negative correlation. In the calculations for the correlation coefficient, what does the sum of products of deviations measure and how is this number used in the calculation of r?
A manager of a local retail store analyzes the relationship between the number of rainy days and sales by reviewing the store’s data for the previous six months. She computes the correlation between sales and number of rainy days as -0.90. Select ALL that apply. a. There is a strong positive linear relationship between sales and number of rainy days. b. As the number of rainy days increases sales decrease. c. As the number of rainy days increases sales increase. d. There is a strong negative linear relationship between sales and the number of rainy days.
What type of relationship exists between the two variables x and y in the scatter plot? A.Positive correlation B.No correlation C.Negative correlation D.None of the choices
ologist was recording various temperatures (in degrees Celsius) and predicting the amount of glucose produced by a plant (in milligrams). Suppose the linear equation was the following: ?̂ = 12.7 − 0.223? Suppose the correlation coefficient was −0.12. How would you classify the correlation between temperature and amount of glucose?
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.
Match the linear correlation coefficient to the scatter diagram. The scales on the x- and y-axes are the same for each diagram. (a) r = -1 (b) r= -0.933 (c) r=-0.523 (d) r= -0.038 Click the icon to view the scatter diagrams. r= -0.933 r= -1 r= -0.523 r=-0.038 Drag each of the r-values given above into the appropriate area below. Q Response Explanatory Response Explanatory Q *** Response Explanatory Q Response Explanatory
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 572 pounds? Use a significance level of 0.05. Chest size (inches) 46 57 53 41 40 40 Weight (pounds) 384 580 542 358 306 320 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=nothing+nothingx (Round to one decimal place as needed.)
Customers at a large department store rated their satisfaction with their purchases, on a scale from 1 (least satisfied) to 10 (most satisfied). The cost of their purchases was also recorded. To three decimal places, determine the correlation coefficient between rating and purchase amount spent. Then describe the strength and direction of the relationship.
Q9: Please type your answer and show your work by typing
A correlation of 0.5. The community of having a cat and dog average is 60% and SD = 15. find the score of people having cats that show 75%.
Pa.n.n

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