(c) Use the regression equation to predict the head circumference of a child who is 24.5 inches tall. Data TableHeight (inches), x Head Circumference (inches), y27.517.524.7517.125.752624.527.7526.7527.2526.526.527.7517.217.616.917.617.317.517.317.517.5 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 theirheights and head circumferences, and obtains the accompanying data. Complete parts (a) through (g) below.Click the icon to view the children's data.Interpret the y-intercept, if appropriate. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.in., on average.O A. For every inch increase in height, the head circumference increases by(Round to one decimal place as needed.)OB. For a height of 0 inches, the head circumference is predicted to be(Round to one decimal place as needed.)in.C. For every inch increase in head circumference, the height increases by(Round to one decimal place as needed.)y =in.(Round to two decimal places as needed.)COD. For a head circumference of 0 inches, the height is predicted to be(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.in.in., on average.

first we have to find regression equation.

Answered: (c) Use the regression equation to…

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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10:56 AA www-awn.aleks.com O REGRESSION AND CORRELATION Predictions from the least-squares regressio. OC OO D The managers of an electric utility wish to examine the relationship between temperature and electricity use in the utility's service region during the summer months. In particular, the managers wish to be able to predict total electricity use for a day from the maximum temperature that day. The bivariate data below give the maximum temperature (in degrees Fahrenheit) and the electricity use (in thousands of kilowatt hours) of electricity generated and sold for a random sample of sixteen summer days. A best-fitting line for the data, obtained from least- squares regression, is given by =53.28 + 3.07.x, in which x denotes the maximum temperature and y denotes the electricity use. This line is shown in the Figure 1 scatter plot. Temperature, x Electricity use, y (in degrees Fahrenheit) (in thousands of kilowatt hours) 78.4 295.4 72.5 232.1 00- 72.7 276.8 94.5 363.4 375 94.8 335.6…
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​(c) Use the regression equation to predict the head circumference of a child who is 24.5 inches tall.

(c) Use the regression equation to predict the head circumference of a child who is 24.5 inches tall.