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What is another word for Multivariate Analyses?

Pronunciation: [mˌʌltɪvˈe͡əɹɪˌe͡ɪt ɐnˈaləsˌiːz] (IPA)

Multivariate analyses refer to statistical methods that analyze the relationships between multiple variables simultaneously. These analyses are widely used in various fields, including social sciences, economics, marketing, and healthcare research. Synonyms for the term "multivariate analyses" include multivariable analyses, multiple regression analyses, and multiple factor analyses. Additionally, terms such as multivariate statistical methods, multivariate techniques, and multivariate modeling are often used interchangeably. These synonyms all encapsulate the idea of examining the relationships and interdependencies between multiple variables within a dataset. By employing these approaches, researchers gain valuable insights into complex data patterns and make informed decisions based on the results.
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What are the opposite words for Multivariate Analyses?

Multivariate analyses refer to the statistical method that involves the observation and analysis of more than one dependent variable. It is a complex and demanding statistical approach that requires a thorough understanding of the data being analyzed. The antonyms for multivariate analyses are univariate analysis, which is the analysis of a single variable, and bivariate analysis, which involves the analysis of two variables. These two methods are less complex than multivariate analyses and are easier to perform. While univariate and bivariate analyses do not account for the complex relationships between variables, they are useful in providing simple analytical insights.

What are the antonyms for Multivariate analyses?

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