Age x and resting heart rate y were sampled for 25 randomly selected children from age 2 to 9. Summary information is: n = 25, Σx = 140.5, Σx2 = 903.75, Σy = 2567, Σy2 = 264, 457, Σxy = 14, 171.5 (a) Compute the linear correlation coefficient and interpret what it means in the context of the problem. (b) Compute the least squares regression line. (c) Predict the resting heart rate for a child age 5.
Age x and resting heart rate y were sampled for 25 randomly selected children from age 2 to 9. Summary information is: n = 25, Σx = 140.5, Σx2 = 903.75, Σy = 2567, Σy2 = 264, 457, Σxy = 14, 171.5 (a) Compute the linear correlation coefficient and interpret what it means in the context of the problem. (b) Compute the least squares regression line. (c) Predict the resting heart rate for a child age 5.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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Age x and resting heart rate y were sampled for 25 randomly selected children from age 2 to 9. Summary information is:
n = 25, Σx = 140.5, Σx2 = 903.75, Σy = 2567, Σy2 = 264, 457, Σxy = 14, 171.5
(a) Compute the
(b) Compute the least squares regression line.
(c) Predict the resting heart rate for a child age 5.
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