A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 5 children and measures their height and head circumference. The data are summarized below. Complete parts (a) through (f) below. Height (inches), x Head Circumference (inches), y 16.9 17.5 17.3 17.1 17.3 25 27 26.5 25.5 26- Click the icon to view the Student's t-distribution table. (a) Treating height as the explanatory variable, x, determine the estimates of Bo and B,- Po z bo = 9.940 %3D
A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 5 children and measures their height and head circumference. The data are summarized below. Complete parts (a) through (f) below. Height (inches), x Head Circumference (inches), y 16.9 17.5 17.3 17.1 17.3 25 27 26.5 25.5 26- Click the icon to view the Student's t-distribution table. (a) Treating height as the explanatory variable, x, determine the estimates of Bo and B,- Po z bo = 9.940 %3D
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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please explain how to get these answers and if you could show it through excel it would be really helpful

Transcribed Image Text:Recall that b, is the estimate of the slope of the regression line B1. Use
technology or the formula below to calculate sp,-
Se

Transcribed Image Text:A pediatrician wants to determine the relation that may exist between a child's height and
head circumference. She randomly selects 5 children and measures their height and head
circumference. The data are summarized below. Complete parts (a) through (f) below.
Height (inches), x
Head Circumference (inches), y 16.9 17.5 17.3 17.1 17.3
25
27 26.5 25.5
260
Click the icon to view the Student's t-distribution table.
(a) Treating height as the explanatory variable, x, determine the estimates of Po and B1.
Po z bo = 9.940
P, zb, = 0.280
(Round to three decimal places as needed.)
%3D
(b) Compute the standard error of the estimate, s,.
Se = 0.0632 (Round to four decimal places as needed.)
(c) A normal probability plot suggests that the residuals are normally distributed. Determine
So. = 0.0400
%3D
The unbiased estimator of o is called the standard error of the estimate,
s. Read the value of s, from the software output of the regression
analysis or use the formula below to calculate sę, where y; -yi is the
residual between the observed value, y;, and the predicted value of y, y;-
n-2
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