Foot Length 281.8 278.2 252.8 258.8 278.8 257.7 274.0 262.4 O Height 1785.1 1770.8 1676.3 1645.8 1858.8 1710.3 1789.1 1736.7 The regression equation is y=+x (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.) mm. The best predicted height of a male with a foot length of 273.2 mm is (Round to the nearest integer as needed.) How does the result compare to the actual height of 1776 mm? OA. The result is exactly the same as the actual height of 1776 mm. OB. The result is close to the actual height of 1776 mm. OC. The result is very different from the actual height of 1776 mm OD. The result does not make sense given the context of the data. DELL Submit test
Foot Length 281.8 278.2 252.8 258.8 278.8 257.7 274.0 262.4 O Height 1785.1 1770.8 1676.3 1645.8 1858.8 1710.3 1789.1 1736.7 The regression equation is y=+x (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.) mm. The best predicted height of a male with a foot length of 273.2 mm is (Round to the nearest integer as needed.) How does the result compare to the actual height of 1776 mm? OA. The result is exactly the same as the actual height of 1776 mm. OB. The result is close to the actual height of 1776 mm. OC. The result is very different from the actual height of 1776 mm OD. The result does not make sense given the context of the data. DELL Submit test
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 34
![Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be the predictor (x) variable. Find the best predicted height of a male with a foot length of 273.2 mm.
How does the result compare to the actual height of 1776 mm?
F3
3
Foot Length 281.8 278.2 252.8 258.8 278.8 257.7 274.0 262.4
Height
1785.1 1770.8 1676.3 1645.8 1858.8 1710.3 1789.1 1736.7
The regression equation is y=+x
(Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.)
The best predicted height of a male with a foot length of 273.2 mm is
(Round to the nearest integer as needed.)
How does the result compare to the actual height of 1776 mm?
OA. The result is exactly the same as the actual height of 1776 mm.
OB. The result is close to the actual height of 1776 mm.
OC. The result is very different from the actual height of 1776 mm.
OD. The result does not make sense given the context of the data.
F4
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4
F5
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5
F6
7
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A
6
F7
F8
&
7
O
mm.
F9
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8
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F10
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(
9
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O
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Delete
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[0
Num
Lock
8
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1
*
End](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fffc517a8-8d25-4dba-b5b9-bbe3039266d7%2F2b12ae96-7f3a-4a14-84ef-72e1f4474f0b%2Fsq6l3t8_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be the predictor (x) variable. Find the best predicted height of a male with a foot length of 273.2 mm.
How does the result compare to the actual height of 1776 mm?
F3
3
Foot Length 281.8 278.2 252.8 258.8 278.8 257.7 274.0 262.4
Height
1785.1 1770.8 1676.3 1645.8 1858.8 1710.3 1789.1 1736.7
The regression equation is y=+x
(Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.)
The best predicted height of a male with a foot length of 273.2 mm is
(Round to the nearest integer as needed.)
How does the result compare to the actual height of 1776 mm?
OA. The result is exactly the same as the actual height of 1776 mm.
OB. The result is close to the actual height of 1776 mm.
OC. The result is very different from the actual height of 1776 mm.
OD. The result does not make sense given the context of the data.
F4
$
4
F5
%
5
F6
7
►
A
6
F7
F8
&
7
O
mm.
F9
00 *
8
DELL
p
F10
!!!
(
9
C
F11
)
O
F12
-
PrtScr
"20
+
Insert
Delete
Backspace
[0
Num
Lock
8
Submit test
PgUp PgDn Home
1
*
End
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