A dataset contains 10 measures of workplace sustainability. The analytics team is in need of producing a single score of sustainability. Which of the following techniques if used would achieve this objective?
couldn't find more info in the BABOK or CBDA guide. Had to do research on this one.
Factor analysis is a statistical method used to identify underlying relationships between variables. It reduces the dimensionality of a dataset by grouping related variables into factors. These factors can then be combined to create a single score that represents an underlying concept, in this case, sustainability.
K means clustering is used for partitioning data into distinct clusters but doesn't produce a single score.
Logistic regression is used for binary classification and would not produce a single score from multiple measures.
Linkage algorithms are typically used in hierarchical clustering and do not aggregate multiple measures into a single score.
upvoted 1 times
...
Log in to ExamTopics
Sign in:
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one.
So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
Rabbitsfoot
5 months, 2 weeks ago