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, or whichever you use). 2) Is the regression a good one? Evaluate the items needed to answer Q1); F, r-square, appropriate 't' and 'F' statistics, all at the 5% (alpha=.05) significance. To do so, please use the format where you first list the Ho and Ha, then the decision rule, then the decision, then the conclusion. Draw conclusions about each variable, in Q2), and then a quick sentence about the quality of the model overall. "Given the results above, we conclude that .. ."
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, or whichever you use). 2) Is the regression a good one? Evaluate the items needed to answer Q1); F, r-square, appropriate 't' and 'F' statistics, all at the 5% (alpha=.05) significance. To do so, please use the format where you first list the Ho and Ha, then the decision rule, then the decision, then the conclusion. Draw conclusions about each variable, in Q2), and then a quick sentence about the quality of the model overall. "Given the results above, we conclude that .. ."
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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Question
| 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 | 0 | 0 | 0 | 0 | 0 | 1 | |
| 73 | 175 | 3.47 | 5 | 0 | 5 | 4 | 3 | 26 | 5 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |
| 62 | 112 | 4 | 6 | 2 | 1 | 4 | 3 | 34 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | |
| 64.5 | 122 | 3.5 | 3.4 | 1 | 0 | 5 | 3 | 47 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | |
| 69 | 135 | 4 | 4 | 2 | 1 | 4 | 1 | 13 | 5 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | |
| 61 | 129 | 3.8 | 4 | 2 | 3 | 5 | 2 | 17 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | |
| 64 | 135 | 3.4 | 3 | 2 | 0 | 5 | 1 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | |
| 68 | 150 | 4 | 10 | 1 | 0 | 4 | 2 | 31 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | |
| 70 | 130 | 3.8 | 4 | 1 | 2 | 4 | 2 | 26 | 8 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |
| 65 | 172 | 3.6 | 2.5 | 1.5 | 0.5 | 4 | 2 | 26 | 8 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |
| 74 | 235 | 2.6 | 1 | 1 | 1 | 4 | 3 | 52 | 8 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |
| 69 | 150 | 3 | 2 | 3 | 3 | 4 | 3 | 26 | 5 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |
| 72 | 152 | 2.8 | 2.5 | 0.5 | 3 | 5 | 3 | 30 | 10 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | |
| 73 | 155 | 3 | 3 | 1 | 2 | 4 | 2 | 26 | 5 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | |
| 74 | 170 | 3.75 | 2 | 1.5 | 1.5 | 3 | 2 | 15 | 5 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |
| 68 | 150 | 3 | 2.5 | 2 | 1 | 4 | 3 | 26 | 10 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | |
| 63 | 115 | 2.5 | 3 | 1 | 2.5 | 3 | 2 | 13 | 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | |
| 71 | 180 | 2.1 | 1 | 3 | 3 | 4 | 2 | 13 | 10 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | |
| 72 | 167 | 2.7 | 1 | 2 | 4 | 4 | 2 | 18 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |
| 72 | 180 | 3.8 | 2 | 1.5 | 0.5 | 3 | 1 | 300 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | |
| µ = | 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:Project #2: y=B,+B1x+P2x;+ B3×a +€ You do not need to do 3 variables.
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, or whichever you
use).
2) Is the regression a good one?
Evaluate the items needed to answer Q1); F, r-square, appropriate 't' and 'F'
statistics, all at the 5% (alpha=.05) significance.
To do so, please use the format where you first list the Ho and Ha, then the
decision rule, then the decision, then the conclusion.
Draw conclusions about each variable, in Q2), and then a quick sentence
about the quality of the model overall. "Given the results above, we
conclude that..
Follow the structure of how we have done it in class:
Write out the equation and interpret it in words.
Họ:
Hạ:
Decision Rule
Decide
Conclude
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