Use Data Set 7 found on my website for this question. Consider two models: Big and Small. Both models are predicting Exam Tot. Big uses four variables (Female?, Year, Time, and H Total) to predict Exam Tot. Small uses two variables (Time and H Total) to predict Exam Tot. Run a regression for each model. Which one is a better model? Small is better, but it's arguable that Big is better Clearly Big Both are equally good / It's hard to tell. Big is better, but it's arguable that Small is better Clearly Small
Use Data Set 7 found on my website for this question. Consider two models: Big and Small. Both models are predicting Exam Tot. Big uses four variables (Female?, Year, Time, and H Total) to predict Exam Tot. Small uses two variables (Time and H Total) to predict Exam Tot. Run a regression for each model. Which one is a better model? Small is better, but it's arguable that Big is better Clearly Big Both are equally good / It's hard to tell. Big is better, but it's arguable that Small is better Clearly Small
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
Related questions
Question
Use Data Set 7 found on my website for this question.
Consider two models: Big and Small. Both models are predicting Exam Tot.
- Big uses four variables (Female?, Year, Time, and H Total) to predict Exam Tot.
- Small uses two variables (Time and H Total) to predict Exam Tot.
Run a regression for each model. Which one is a better model?
Small is better, but it's arguable that Big is better |
||
Clearly Big |
||
Both are equally good / It's hard to tell. |
||
Big is better, but it's arguable that Small is better |
||
Clearly Small |
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40
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Exam Tot
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36828E-2582%ZZORRANNOMAGORANGGOS
9
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24
26
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SC
40
A
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Exam Tot
97
69
89
69
71
94
98
66
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103
84
42
93
84
92
29
78
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81
55
74
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199
66
48
75
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94
€9
91
49
R
82
Female?
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Year
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SPBERRNESESSENGGENGRANA422955AA
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44
39
33
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34
34
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31
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33
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E
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191
170
121
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119
117
195
155
147
56
75
98
168
197
73
73
188
181
119
198
0
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0
95
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0
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56
71
09
96
87
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93
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66
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