A A A 2-333- 2A EEEE - 16 (43 ALLONG. Arrange Quick {}☆ Styles Paragraph Drawing Residual vs fitted plot: The data is randomly scattered, thus the data is homoscedastic Residuals vs Fitted 3580 W 121 S Residuals 4 2 0 -2 T O 0 8 que 10 008 0857 O 9.3 O 00⁰0 80 O 5 10 Fitted values Im(y x1 + x2 + x3 + x4 + x5 + x6 +x7+x8+x9+x10) ?i R < 15 W Shape Fill Shape Outline Shape Effects Notes OI F Find Replace Select Editing 09 모 HO

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Explain this plot (linear regression analysis
V Record Review View Help
A A A
12-16 33
2.31.
O
ALLG
672 {}☆
Arrange Quick
2AEEEE
a
15
Paragraph
Drawing
Residual vs fitted plot: The data is randomly scattered, thus the
data is homoscedastic
Residuals vs Fitted
V
3580
2
0
O
4
Residuals
O
0
O
o
H
SEP
8
fog
00
O
0
O
NCI
14
[+]
86000
0
1008
-
029357
Book
O
200
@20
100%
800
0 0 0
5
10
Fitted values
Im(y x1 + x2 + x3 + x4 + x5 + x6 +x7+x8+x9+x10)
R
15
0
W
Shape Fill
L Shape Outline
Styles Shape Effects
Notes
19
FS
Find
Replace
Select
V
Editing
88
9
Transcribed Image Text:V Record Review View Help A A A 12-16 33 2.31. O ALLG 672 {}☆ Arrange Quick 2AEEEE a 15 Paragraph Drawing Residual vs fitted plot: The data is randomly scattered, thus the data is homoscedastic Residuals vs Fitted V 3580 2 0 O 4 Residuals O 0 O o H SEP 8 fog 00 O 0 O NCI 14 [+] 86000 0 1008 - 029357 Book O 200 @20 100% 800 0 0 0 5 10 Fitted values Im(y x1 + x2 + x3 + x4 + x5 + x6 +x7+x8+x9+x10) R 15 0 W Shape Fill L Shape Outline Styles Shape Effects Notes 19 FS Find Replace Select V Editing 88 9
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