Height Weight GPA Study TV Computer FamilySz Floors stairs friends female Acctg Mgmt Mktg Fin IntBus Other 67 138 4 6 2 1 5 2 26 6 1 73 175 3.47 5 5 4 3 26 5 62 112 4 6. 2 1 4 3 34 3 1. 64.5 122 3.5 3.4 1. 47 4 1. 69 135 4 4 2 1 4 1 13 5 1 1 61 129 3.8 4 2 17 1. 1 64 135 3.4 3 2 5 1 1. 68 150 4 10 1. 4 31 4 70 130 3.8 4 4 2 26 1. 65 172 3.6 2.5 1.5 0.5 4 2 26 74 235 2.6 4 3 52 1. 69 150 3 2 3 3 4 26 5 1 72 152 2.8 2.5 0.5 3 30 10 1 73 155 3 3 4 26 5 1. 74 170 3.75 1.5 1.5 3 2. 15 5 1 68 150 3 2.5 2 1 4 26 10 1 63 115 2.5 3 2.5 13 1 1 71 180 2.1 3 4 13 10 1. 72 167 2.7 1. 2 4 2. 18 3 1 72 180 3.8 1.5 0.5 1. 300 2 68.575 152.6 3.341 3.395 1.55 1.75 4.1 2.2 38.25 5.8 s= 4.146257 28.65842 0.584798 2.137257 0.759155 1.409554 0.640723 0.695852 ----- ---- ----- ----- ----- II--- ---- ---- ----- ----- E---- =--- 62.7215 2.587419 ----- ----- --

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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Height
Weight
GPA
Study
TV
Computer FamilySz
Floors
stairs
friends
female
Acctg
Mgmt
Mktg
Fin
IntBus
Other
67
138
4
6
2
1.
2
26
6.
1
73
175
3.47
5
4
26
1
62
112
4
6
2
1.
4
34
3
1
1.
64.5
122
3.5
3.4
1.
3
47
4
1
1.
69
135
4
4
2
4
13
1.
61
129
3.8
4
2
3
5
17
1.
1.
64
135
3.4
3
2
5
1.
1
1.
68
150
4
10
1
4
2
31
4
1
1
70
130
3.8
4
1
2
4
2
26
8.
1
65
172
3.6
2.5
1.5
0.5
4
2
26
8.
1
74
235
2.6
1.
1.
1.
4
3
52
1.
69
150
3
2
3
3
4
3
26
1.
72
152
2.8
2.5
0.5
3
5
3
30
10
1.
73
155
3
1.
2
4
2
26
1
74
170
3.75
1.5
1.5
2
15
5
1.
68
150
3
2.5
1.
4
3
26
10
1
63
115
2.5
3
2.5
3
2
13
8
1.
1
71
180
2.1
1
3
3
4
13
10
1
72
167
2.7
2.
4
4
2
18
3
72
180
3.8
2
1.5
0.5
1.
300
68.575
152.6
3.341
3.395
1.55
1.75
4.1
2.2
38.25
5.8
s= 4.146257 28.65842 0.584798 2.137257 0.759155 1.409554 0.640723
0.695852 62.7215 2.587419
------ ---- ----- ----- ----- ----- ---- ----- ----- ----- ----- ------
----- ---- ---- --
Transcribed Image Text:Height Weight GPA Study TV Computer FamilySz Floors stairs friends female Acctg Mgmt Mktg Fin IntBus Other 67 138 4 6 2 1. 2 26 6. 1 73 175 3.47 5 4 26 1 62 112 4 6 2 1. 4 34 3 1 1. 64.5 122 3.5 3.4 1. 3 47 4 1 1. 69 135 4 4 2 4 13 1. 61 129 3.8 4 2 3 5 17 1. 1. 64 135 3.4 3 2 5 1. 1 1. 68 150 4 10 1 4 2 31 4 1 1 70 130 3.8 4 1 2 4 2 26 8. 1 65 172 3.6 2.5 1.5 0.5 4 2 26 8. 1 74 235 2.6 1. 1. 1. 4 3 52 1. 69 150 3 2 3 3 4 3 26 1. 72 152 2.8 2.5 0.5 3 5 3 30 10 1. 73 155 3 1. 2 4 2 26 1 74 170 3.75 1.5 1.5 2 15 5 1. 68 150 3 2.5 1. 4 3 26 10 1 63 115 2.5 3 2.5 3 2 13 8 1. 1 71 180 2.1 1 3 3 4 13 10 1 72 167 2.7 2. 4 4 2 18 3 72 180 3.8 2 1.5 0.5 1. 300 68.575 152.6 3.341 3.395 1.55 1.75 4.1 2.2 38.25 5.8 s= 4.146257 28.65842 0.584798 2.137257 0.759155 1.409554 0.640723 0.695852 62.7215 2.587419 ------ ---- ----- ----- ----- ----- ---- ----- ----- ----- ----- ------ ----- ---- ---- --
Project #2: y=bo+b1x1+b2x2+b3x3+e
Run a regression, using the data you have from class, assessing the impact of Height, Family Size, and # Hrs on the Computer
on Weight.
1) Write out the regression equation and interpret the equation, and each of the slope terms (Height, Family Size, Hrs on
Computer.
Transcribed Image Text:Project #2: y=bo+b1x1+b2x2+b3x3+e Run a regression, using the data you have from class, assessing the impact of Height, Family Size, and # Hrs on the Computer on Weight. 1) Write out the regression equation and interpret the equation, and each of the slope terms (Height, Family Size, Hrs on Computer.
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