Canonical Correlation Analysis | My Assignment Tutor

Example Online Exam Format Solutions:
Question 1:
What is the difference between Orthogonal and Oblique rotations applied in
Factor Analysis?
Solution:
An orthogonal rotation keeps the resultant factors uncorrelated with one
another. An oblique rotation relaxes orthogonality so that factors can be
correlated to some extent to help improve interpretation. The correlation allowed
is usually small because highly correlated factors would be representing very
similar aspects of the data and could probably be best represented and
interpreted as one factor.
Question 2:
Based on the following data calculate the Euclidian distance missing in the
matrix below (i.e. find d43), The formulae for Euclidian distance is:
Solution:
d43=sqrt((0.60-1.78)ˆ2 + (0.55-1.48)ˆ2)
= 1.502
Question 3:
Canonical Correlation Analysis is a classification method. False
Question 4:
Cluster Analysis and Multi-Dimensional Scaling are both methods based on
distance matrices. True

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