(e) Convert the data to centimeters (1 inch=2.54 cm), and recompute the linear correlation coefficient. What effect did the conversion have on the linear correlation coefficient? Convert the first four data values to centimeters. (Type integers or decimals. Do not round. List the terms in the same order as they appear i the original list.) Convert the last four data values to centimeters. (Type integers or decimals. Do not round. List the terms in the same order as they appear i the original list.) The new linear correlation coefficient is r=. The conversion to centimeters (Round to three decimal places as needed.) Head Circumference Height (centimeters) (centimeters) Head Circumference Height (centimeters) (centimeters)
(e) Convert the data to centimeters (1 inch=2.54 cm), and recompute the linear correlation coefficient. What effect did the conversion have on the linear correlation coefficient? Convert the first four data values to centimeters. (Type integers or decimals. Do not round. List the terms in the same order as they appear i the original list.) Convert the last four data values to centimeters. (Type integers or decimals. Do not round. List the terms in the same order as they appear i the original list.) The new linear correlation coefficient is r=. The conversion to centimeters (Round to three decimal places as needed.) Head Circumference Height (centimeters) (centimeters) Head Circumference Height (centimeters) (centimeters)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:1:31
A pediatrician wants to determine the relation that may
exist between a child's height and head circumference.
She randomly selects 8 children from her practice,
measures their height and head circumference, and
obtains the data shown in the table. Complete parts (a)
through (e) below.
Click here to see the Table of Critical Values for
Correlation Coefficient.
Data table
Critical Values for Correlation Coefficient
Print
|||
=
n
3
0.997
4 0.950
5 0.878
6 0.811
7 0.754
8 0.707
9 0.666
10 0.632
11 0.602
12 0.576
13 0.553
14 0.532
15 0.514
16 0.497
17 0.482
18 0.468
19 0.456
20 0.444
21 0.433
22 0.423
23 0.413
24 0.404
25 0.396
26 0.388
27 0.381
28 0.374
29 0.367
30 0.361
n
Done
O
Height (in.) Head Circumference (in.)
27.75
25
26.25
25.5
27.25
26.75
26
27.25
Vo) 1
LTE 4G 15%
I
X
17.4
17.1
17.3
16.9
17.4
17.3
17.1
17.4
Transcribed Image Text:(e) Convert the data to centimeters (1 inch=2.54 cm), and recompute the linear correlation coefficient. What effect did the conversion have on the linear
correlation coefficient?
Convert the first four data values to centimeters.
(Type integers or decimals. Do not round. List the terms in the same order as they appear in the original list.)
Convert the last four data values to centimeters.
(Type integers or decimals. Do not round. List the terms in the same order as they appear in the original list.)
The new linear correlation coefficient is r=. The conversion to centimeters
(Round to three decimal places as needed.)
Height
(centimeters) (centimeters)
Head Circumference
|
Height
(centimeters) (centimeters)
Head Circumference
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