Question

Multivariate data analysis is an application of ___________.
a) Categorizing the variables
b) Dimension reduction
c) All the options
d) Multivariate Statistics

Answer 1

Answer:

multivariate statistics is the answer

Explanation:

Answer 2

Multivariate data analysis

Explanation:

• Univariate approaches are those that deal with only one variable.
• Multivariate approaches are those that deal with multiple variables at the same time. Natural systems cannot be adequately characterised using univariate approaches.
• Nature has a lot of different variations. That is to say, any phenomenon researched in depth is usually dependent on a number of elements.
• The weather, for example, is affected by variables such as wind, air pressure, temperature, dew point, and seasonal fluctuations.
• A multivariate data matrix is created if these factors are collected every day. Multivariate data analysis is important for interpreting such data sets.
• To process data in a meaningful way, multivariate data analysis might be employed. These methods allow for the creation of concealed data structures.
• On the one hand, measuring elements frequently do not contribute to the required quality, while hidden occurrences are mistakenly captured.
• Multivariate data analysis enables us to work with large data sets in order to uncover hidden data structures, resulting in improved comprehension and interpretation.
• There are a variety of multivariate data analysis methodologies to choose from. Which method to choose relies on the question to be answered.
• Consumer segmentation, new product development, improved product positioning, new product introduction, and other areas of market research would benefit from multivariate analysis.
• MVA stands for multivariate analysis, which is a statistical process for analysing data including multiple types of measurements or observations.