B D Number of Homework Problems Alex recorded the amount of time he spent completing homework assignments with different numbers of problems. He also created a quadratic model that could be used to estimate the time needed to complete an assignment consisting of a certain number of problems. He computed the residual values for different numbers of problems and created the residual plot shown. Based on the residual plot, which of the following statements identifies whether Alex's model is appropriate for the data and provides an appropriate reason to support the identification? 400 F1 1 The model is appropriate because all of the residual values are between 1 and 1. 11 Residual (minutes) The model is appropriate because half of the data values are underestimated and half of the data values are overestimated. The model is not appropriate because the residual plot appears to be randomly distributed. 28 F2 The model is not appropriate because the residual plot forms a linear pattern. 1 # 1.0- 80 F3 0.5 € 0 -0.5 F4 % FS 6 & MacBook 8 1 8 F7 ( n DII FB ) C DO FA FO a = 0 F10 ? ch + F11
B D Number of Homework Problems Alex recorded the amount of time he spent completing homework assignments with different numbers of problems. He also created a quadratic model that could be used to estimate the time needed to complete an assignment consisting of a certain number of problems. He computed the residual values for different numbers of problems and created the residual plot shown. Based on the residual plot, which of the following statements identifies whether Alex's model is appropriate for the data and provides an appropriate reason to support the identification? 400 F1 1 The model is appropriate because all of the residual values are between 1 and 1. 11 Residual (minutes) The model is appropriate because half of the data values are underestimated and half of the data values are overestimated. The model is not appropriate because the residual plot appears to be randomly distributed. 28 F2 The model is not appropriate because the residual plot forms a linear pattern. 1 # 1.0- 80 F3 0.5 € 0 -0.5 F4 % FS 6 & MacBook 8 1 8 F7 ( n DII FB ) C DO FA FO a = 0 F10 ? ch + F11
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
Asap
![2
3
A
B
C
D
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1)
6
460
F1
8
11
2 @
9
(10)
F2
Alex recorded the amount of time he spent completing homework assignments with different numbers of problems. He also created a quadratic model that could be used to estimate
the time needed to complete an assignment consisting of a certain number of problems. He computed the residual values for different numbers of problems and created the residual
plot shown. Based on the residual plot, which of the following statements identifies whether Alex's model is appropriate for the data and provides an appropriate reason to support
the identification?
#
3 Y
Residual
(minutes)
The model is appropriate because all of the residual values are between
20
F3
1.0
The model is not appropriate because the residual plot forms a linear pattern.
€
4 E
0.5
The model is appropriate because half of the data values are underestimated and half of the data values are overestimated.
The model is not appropriate because the residual plot appears to be randomly distributed.
OOD
800
F4
0
-0.5-
or do
%
50
.
Number of Homework Problems.
1
1 and 1.
o 20
&
4.
•
29
MacBook
s
F6
6
61
8
44
F7
1
7 Y
(
- 00
DII
FB
8 A
)
DD
FO
=
0
d
$10
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+
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F11
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Transcribed Image Text:2
3
A
B
C
D
!
1)
6
460
F1
8
11
2 @
9
(10)
F2
Alex recorded the amount of time he spent completing homework assignments with different numbers of problems. He also created a quadratic model that could be used to estimate
the time needed to complete an assignment consisting of a certain number of problems. He computed the residual values for different numbers of problems and created the residual
plot shown. Based on the residual plot, which of the following statements identifies whether Alex's model is appropriate for the data and provides an appropriate reason to support
the identification?
#
3 Y
Residual
(minutes)
The model is appropriate because all of the residual values are between
20
F3
1.0
The model is not appropriate because the residual plot forms a linear pattern.
€
4 E
0.5
The model is appropriate because half of the data values are underestimated and half of the data values are overestimated.
The model is not appropriate because the residual plot appears to be randomly distributed.
OOD
800
F4
0
-0.5-
or do
%
50
.
Number of Homework Problems.
1
1 and 1.
o 20
&
4.
•
29
MacBook
s
F6
6
61
8
44
F7
1
7 Y
(
- 00
DII
FB
8 A
)
DD
FO
=
0
d
$10
?
+
<
F11
<
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