MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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a. The mean and standard deviation for x, are 6.6 and 3.3, respectively. The mean and standard deviation for x, are 382.2 and 126.2,
respectively. Compute the z-scores for the x, and x, values for the two observations. (Negative values should be indicated by a
minus sign. Round intermediate calculations to at least 4 decimal places and your final answers to 4 decimal places.)
Z11
21
Z12
Z22
b. Compute the first principal component score for observation 1. (Negative values should be indicated by a minus sign. Round
intermediate calculations to at least 4 decimal places and your final answers to 4 decimal places.)
PC1,1
c. Compute the second principal component score for observation 2. (Negative values should be indicated by a minus sign. Round
intermediate calculations to at least 4 decimal places and your final answers to 4 decimal places.)
PC2,2
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Transcribed Image Text:a. The mean and standard deviation for x, are 6.6 and 3.3, respectively. The mean and standard deviation for x, are 382.2 and 126.2, respectively. Compute the z-scores for the x, and x, values for the two observations. (Negative values should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and your final answers to 4 decimal places.) Z11 21 Z12 Z22 b. Compute the first principal component score for observation 1. (Negative values should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and your final answers to 4 decimal places.) PC1,1 c. Compute the second principal component score for observation 2. (Negative values should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and your final answers to 4 decimal places.) PC2,2 |
The following table displays the weights for computing the principal components and the data for two observations.
Weight
PC1
PC2
X1
-0.89
0.82
X2
-0.83
-0.88
X1
X2
observation 1
Observation 2
8.20
340.50
3.00
256.50
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Transcribed Image Text:The following table displays the weights for computing the principal components and the data for two observations. Weight PC1 PC2 X1 -0.89 0.82 X2 -0.83 -0.88 X1 X2 observation 1 Observation 2 8.20 340.50 3.00 256.50
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