multivariate
多変量
解説 Definition
多変量とは、複数の異なる変数や要因を含む状態を指します。統計学やデータ分析で複数の独立変数を扱う場合に使われます。
Multivariate means involving several different variables or changing factors at the same time. It is mainly used in mathematics, statistics, and data analysis. The word describes methods or situations where many related values are studied together.
覚え方のコツ Memory Tip
multivariate は統計・データ分析で使う「多変量の」を表します。multi- は「多」、variate は観測量・変量と結びつけるとよく、multivariate analysis や multivariate regression のように複数の測定値や要因をまとめて扱う文脈で出ます。単に式に変数が多いというより、データ中の複数の観測項目を同時に分析する感覚で覚えましょう。
Start with multi-, meaning many, and connect variate with variable or measured value. Multivariate is common in statistics and data analysis. Phrases like multivariate analysis and multivariate regression involve several measured factors at the same time. Remember it as analysis that looks at more than one variable in the data.
例文
The multivariate analysis examined several factors simultaneously.
多変量分析は複数の要因を同時に調査しました。
Multivariate statistics helps identify complex relationships in data.
多変量統計はデータの複雑な関係を特定するのに役立ちます。
The research used multivariate regression to predict outcomes.
その研究は結果を予測するために多変量回帰を使用しました。
multivariate の語源・成り立ち Etymology
modern English の学術語で、multi-「多くの」+ variate「変化する変数の」から成ります。variate はラテン語 varius「さまざまな」に由来し、「多くの変数が関わる」ので multivariate は「多変量」です。関連語は variable, variety。
Multivariate is a modern English formation from multi-, meaning "many," and variate, linked to variation. The deeper root is Latin varius, meaning "different" or "varied." From that base, the word developed to express the idea of involving many changing factors at once. Related words include variable and variety.
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