Suppose a doctor measures the height, x, and head circumference, y, of 8 children and obtains the data below. The correlation coefficient is 0.909 and the least squares regression line is y= 0.184x + 12.372. Complete parts a and b below. Height, x Head Circumference, y (a) Compute the coefficient of determination, R². R² =% (Round to one decimal place as needed.) 27.00 17.4 25.25 17.0 26.50 17.2 C 25.00 17.0 27.25 17.5 26.75 17.2 25.75 17.2 27.00 17.3

Suppose a doctor measures the height, x, and head circumference, y, of 8 children and obtains the data below. The correlation coefficient is 0.909 and the least squares regression line is y= 0.184x + 12.372. Complete parts a and b below. Height, x Head Circumference, y (a) Compute the coefficient of determination, R². R² =% (Round to one decimal place as needed.) 27.00 17.4 25.25 17.0 26.50 17.2 C 25.00 17.0 27.25 17.5 26.75 17.2 25.75 17.2 27.00 17.3

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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Question

Suppose a doctor measures the height, x, and head circumference, y, of 8 children and obtains the data below. The correlation coefficient is 0.909 and the least squares regression line is y = 0.184x + 12.372. Complete parts a and b
below.
Height, x
Head Circumference, y
(a) Compute the coefficient of determination, R².
R²:
% (Round to one decimal place as needed.)
=
27.00
17.4
25.25
17.0
26.50
17.2
25.00
17.0
27.25
17.5
26.75
17.2
25.75
17.2
27.00
17.3

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what % of the variation is ( height, or head circumference) explained by the least-squares regression model.

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