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: 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. 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 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: 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. 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.
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.4: Linear Regression
Problem 12SBE: Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
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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: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.
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.
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