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(d) Compute the residual based on the observed head circumference of the 24.5​-inch-tall child in the table. Is the head circumference of this child above or below the value predicted by the regression​ model?   The residual for this observation is enter your response here​#, meaning that the head circumference of this child is below/above the value predicted by the regression model.

(d) Compute the residual based on the observed head circumference of the 24.5​-inch-tall child in the table. Is the head circumference of this child above or below the value predicted by the regression​ model?   The residual for this observation is enter your response here​#, meaning that the head circumference of this child is below/above the value predicted by the regression model.

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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(d) Compute the residual based on the observed head circumference of the 24.5​-inch-tall child in the table. Is the head circumference of this child above or below the value predicted by the regression​ model?
 
The residual for this observation is enter your response here​#, meaning that the head circumference of this child is below/above the value predicted by the regression model.
Data Table Height (inches), x Head Circumference (inches), y 27.5 17.5 24.75 17.1 25.75 17.2 26 17.6 24.5 16.9 27.75 17.6 26.75 17.3 27.25 17.5 26.5 26.5 27.75 17.3 17.5 17.5
Transcribed Image Text:Data Table Height (inches), x Head Circumference (inches), y 27.5 17.5 24.75 17.1 25.75 17.2 26 17.6 24.5 16.9 27.75 17.6 26.75 17.3 27.25 17.5 26.5 26.5 27.75 17.3 17.5 17.5
A pediatrician wants to determine the relation that exists between a child's height, x, and head circumference, y. She randomly selects 11 children from her practice, measures their heights and head circumferences, and obtains the accompanying data. Complete parts (a) through (g) below. Click the icon to view the children's data. (Round to one decimal place as needed.) *C. For every inch increase in head circumference, the height increases by (Round to one decimal place as needed.) ~ in., on average. O D. For a head circumference of 0 inches, the height is predicted to be in. (Round to one decimal place as needed.) E. It is not appropriate to interpret the y-intercept. (c) Use the regression equation to predict the head circumference of a child who is 24.5 inches tall. y = 17.04 in. (Round to two decimal places as needed.) (d) Compute the residual based on the observed head circumference of the 24.5-inch-tall child in the table. Is the head circumference of this child above or below the value predicted by the regression model? The residual for this observation is, meaning that the head circumference of this child is (Round to two decimal places as needed.) the value predicted by the regression model.
Transcribed Image Text:A pediatrician wants to determine the relation that exists between a child's height, x, and head circumference, y. She randomly selects 11 children from her practice, measures their heights and head circumferences, and obtains the accompanying data. Complete parts (a) through (g) below. Click the icon to view the children's data. (Round to one decimal place as needed.) *C. For every inch increase in head circumference, the height increases by (Round to one decimal place as needed.) ~ in., on average. O D. For a head circumference of 0 inches, the height is predicted to be in. (Round to one decimal place as needed.) E. It is not appropriate to interpret the y-intercept. (c) Use the regression equation to predict the head circumference of a child who is 24.5 inches tall. y = 17.04 in. (Round to two decimal places as needed.) (d) Compute the residual based on the observed head circumference of the 24.5-inch-tall child in the table. Is the head circumference of this child above or below the value predicted by the regression model? The residual for this observation is, meaning that the head circumference of this child is (Round to two decimal places as needed.) the value predicted by the regression model.
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