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 and measures their height and head circumference in inches. She finds that the correlation is 0.694, and the regression equation is y = 0.294x + 2.02. What proportion of the variation in head circumference can be explained by the variation in the values of height? Round your answer to three decimal places. de %
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 and measures their height and head circumference in inches. She finds that the correlation is 0.694, and the regression equation is y = 0.294x + 2.02. What proportion of the variation in head circumference can be explained by the variation in the values of height? Round your answer to three decimal places. de %
Chapter4: Linear Functions
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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 and measures their height and head
circumference in inches. She finds that the correlation is 0.694, and the regression equation is
y = 0.294x + 2.02.
What proportion of the variation in head circumference can be explained by the variation in the values of
height? Round your answer to three decimal places.
%
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