The correlation between the height and weight of children aged 6 to 9 is found to be about r = 0.8. Suppose we use the height x of a child to predict the weight y of the child. We conclude that: O height is generally 80% of a child's weight. the fraction of variation in weights explained by the least-squares regression line of weight on height is 0.64. the least-squares regression line of y on x would have a slope of 0.8. O about 80% of the time, age will accurately predict weight.
The correlation between the height and weight of children aged 6 to 9 is found to be about r = 0.8. Suppose we use the height x of a child to predict the weight y of the child. We conclude that: O height is generally 80% of a child's weight. the fraction of variation in weights explained by the least-squares regression line of weight on height is 0.64. the least-squares regression line of y on x would have a slope of 0.8. O about 80% of the time, age will accurately predict weight.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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![The correlation between the height and weight of children aged 6 to 9 is found to be about r = 0.8. Suppose we use the
height x of a child to predict the weight y of the child. We conclude that:
O height is generally 80% of a child's weight.
the fraction of variation in weights explained by the least-squares regression line of weight on height is 0.64.
the least-squares regression line of y on x would have a slope of 0.8.
about 80% of the time, age will accurately predict weight.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8e80b437-5d52-49b1-bacb-846648d98bea%2F208b362d-82ca-48c6-ae22-b041881aa35d%2Faszeua4_processed.png&w=3840&q=75)
Transcribed Image Text:The correlation between the height and weight of children aged 6 to 9 is found to be about r = 0.8. Suppose we use the
height x of a child to predict the weight y of the child. We conclude that:
O height is generally 80% of a child's weight.
the fraction of variation in weights explained by the least-squares regression line of weight on height is 0.64.
the least-squares regression line of y on x would have a slope of 0.8.
about 80% of the time, age will accurately predict weight.
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