The table presents data on the taste test of 38 brands of pinot noir wine [data were first reported in an article by Kwan, Kowalski, and Skogenboe in the Journal Agricultural and Food Chemistry (1979, Vol. 27), the response variable is y = quality, and we want to find the "best" regression equation that relates quality to the other five parameters
The table presents data on the taste test of 38 brands of pinot noir wine [data were first reported in an article by Kwan, Kowalski, and Skogenboe in the Journal Agricultural and Food Chemistry (1979, Vol. 27), the response variable is y = quality, and we want to find the "best" regression equation that relates quality to the other five parameters
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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The table presents data on the taste test of 38 brands of pinot noir wine [data were first reported in an article by Kwan, Kowalski, and Skogenboe in the Journal Agricultural and Food Chemistry (1979, Vol. 27), the response variable is y = quality, and we want to find the "best" regression equation that relates quality to the other five parameters
Transcribed Image Text:19
1,0
4,6
4,1
4,3
3,1
11,3
20
0,9
3,4
5,0
3,4
3,4
7,9
21
0,9
6,4
5,4
6,6
4,8
15,1
22
1,0
5,5
5,3
5,3
3,8
13,5
23
0,7
4,7
4,1
5,0
3,7
10,8
24
0,7
4,1
4,0
4,1
4,0
9,5
25
1,0
6,0
5,4
5,7
4,7
12,7
26
1,0
4,3
4,6
4,7
4,9
11,6
27
1,0
3,9
4,0
5,1
5,1
11,7
28
1,0
5,1
4,9
5,0
5,1
11,9
29
1,0
3,9
4,4
5,0
4,4
10,8
30
1,0
4,5
3,7
2,9
3,9
8,5
31
1,0
5,2
4,3
5,0
6,0
10,7
32
0,8
4,2
3,8
3,0
4,7
9,1
33
1,0
3,3
3,5
4,3
4,5
12,1
34
1,0
6,8
5,0
6,0
5,2
14,9
35
0,8
5,0
5,7
5,5
4,8
13,5
36
0,8
3,5
4,7
4,2
3,3
12,2
37
0,8
4,3
5,5
3,5
5,8
10,3
38
0,8
5,2
4,8
5,7
3,5
13,2
Transcribed Image Text:X1
X2
X3
X4
X5
y
Claridad
Aroma
Cuerpo
Sabor
Juventud
Calidad
1
1,0
3,3
2,8
3,1
4,1
9,8
1,0
4,4
4,9
3,5
3,9
12,6
3
1,0
3,9
5,3
4,8
4,7
11,9
4
1,0
3,9
2,6
3,1
3,6
11,1
5
1,0
5,6
5,1
5,5
5,1
13,3
6
1,0
4,6
4,7
5,0
4,1
12,8
7
1,0
4,8
4,8
4,8
3,3
12,8
1,0
5,3
4,5
4,3
5,2
12,0
9
1,0
4,3
4,3
3,9
2,9
13,6
10
1,0
4,3
3,9
4,7
3,9
13,9
11
1,0
5,1
4,3
4,5
3,6
14,4
12
0,5
3,3
5,4
4,3
3,6
12,3
13
0,8
5,9
5,7
7,0
4,1
16,1
14
0,7
7,7
6,6
6,7
3,7
16,1
15
1,0
7,1
4,4
5,8
4,1
15,5
16
0,9
5,5
5,6
5,6
4,4
15,5
17
1,0
6,3
5,4
4,8
4,6
13,8
18
1,0
5,0
5,5
5,5
4,1
13,8
2.
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