Of the following selections, which is not a descriptor of principal component analysis?
A) The first principal account is not suitable for analysis.
B) Principal components are uncorrelated variables.
C) The first principal accounts for most of the variability.
D) Principal component variables are weighted linear combinations of the original variables.

Question

Quizplus · Accepted Answer

Principal Component Analysis (PCA) is a technique used for dimensionality reduction while preserving as much of the variability in the data as possible. The first principal component is actually very important in PCA because it accounts for the most variability in the data. Choices B, C, and D are accurate descriptions of PCA. Choice A is incorrect because the first principal component is indeed suitable for analysis and is often the most informative, contrary to the statement.

Of the Following Selections, Which Is Not a Descriptor of Principal