HeightWeightGPAStudyTVComputer FamilySzFloorsstairsfriendsfemaleAcctgMgmtMktgFinIntBusOther671384621.2266.1731753.4754261621124621.434311.64.51223.53.41.347411.691354424131.611293.84235171.1.641353.43251.11.6815041014231411701303.841242268.1651723.62.51.50.542268.1742352.61.1.1.43521.69150323343261.721522.82.50.535330101.7315531.242261741703.751.51.521551.6815032.51.4326101631152.532.5321381.1711802.1133413101721672.72.442183721803.821.50.51.30068.575152.63.3413.3951.551.754.12.238.255.8s= 4.146257 28.65842 0.584798 2.137257 0.759155 1.409554 0.6407230.695852 62.7215 2.587419------ ---- ----- ----- ----- ----- ---- ----- ----- ----- ----- ----------- ---- ---- -- Project #2: y=bo+b1x1+b2x2+b3x3+eRun a regression, using the data you have from class, assessing the impact of Height, Family Size, and # Hrs on the Computeron Weight.1) Write out the regression equation and interpret the equation, and each of the slope terms (Height, Family Size, Hrs onComputer.

Name: HeightWeightGPAStudyTVComputer FamilySzFloorsstairsfriendsfemaleAcctg
Uploaded: 2024-03-05T11:52:21.000Z
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Description: HeightWeightGPAStudyTVComputer FamilySzFloorsstairsfriendsfemaleAcctgMgmtMktgFinIntBusOther671384621.2266.1731753.4754261621124621.434311.64.51223.53.41.347411.691354424131.611293.84235171.1.641353.43251.11.6815041014231411701303.841242268.1651723.6

The equation to be of form y=b0+b1x1+b2x2+b3x3+e Follow the steps below to get the Regression…

Math

Statistics

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 ----- ----- --

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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Profit and Loss

The amount earned or lost on the sale of one or more items is referred to as the profit or loss on that item.

Units and Measurements

Measurements and comparisons are the foundation of science and engineering. We, therefore, need rules that tell us how things are measured and compared. For these measurements and comparisons, we perform certain experiments, and we will need the experiments to set up the devices.

Topic Video

Question

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.

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