1.06 1.04 To check the accuracy of the prediction method, the linear model y= Bo+B1x+ε is fit. If the prediction method is accurate, the value of Bo will be 0 and the value of ẞ1 will be 1. Note: This problem has a reduced data set for ease of performing the calculations required. This differs from the data set given for this problem in the text.

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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An article presents the results of an experiment in which the surface roughness (in μm) was measured for 15 D2 steel
specimens and compared with the roughness predicted by a neural network model. The results are presented in the
following table.
TRUE Value (x)
Predicted Value (y)
of 6
0.45
0.400
0.82
0.7
0.54
0.52
0.41
0.39
0.77
0.74
2:30:15
0.79
0.78
0.25
0.27
pped
0.62
0.6
0.91
0.87
0.52
Book
0.51
1.02
0.91
Hint
0.6
0.71
Ask
0.58
0.5
erences
0.87
0.91
1.06
1.04
۵
To check the accuracy of the prediction method, the linear model y=Bo+B1x+ & is fit. If the prediction method is
accurate, the value of Bo will be 0 and the value of ẞ1 will be 1.
Note: This problem has a reduced data set for ease of performing the calculations required. This differs from the data
set given for this problem in the text.
Transcribed Image Text:An article presents the results of an experiment in which the surface roughness (in μm) was measured for 15 D2 steel specimens and compared with the roughness predicted by a neural network model. The results are presented in the following table. TRUE Value (x) Predicted Value (y) of 6 0.45 0.400 0.82 0.7 0.54 0.52 0.41 0.39 0.77 0.74 2:30:15 0.79 0.78 0.25 0.27 pped 0.62 0.6 0.91 0.87 0.52 Book 0.51 1.02 0.91 Hint 0.6 0.71 Ask 0.58 0.5 erences 0.87 0.91 1.06 1.04 ۵ To check the accuracy of the prediction method, the linear model y=Bo+B1x+ & is fit. If the prediction method is accurate, the value of Bo will be 0 and the value of ẞ1 will be 1. Note: This problem has a reduced data set for ease of performing the calculations required. This differs from the data set given for this problem in the text.
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