linear multiple correlation 中文意思是什麼

linear multiple correlation 解釋
線性多元相關
  • linear : adj. 1. 線的，直線的。2. 長度的。3. 【數學】一次的，線性的。4. 【動、植】線狀的；細長的。5. 由線條組成的，以線條為主的，強調線條的。
  • multiple : adj 1 多重的；復合的 復式的 多數的 多樣的。2 倍數的 倍。3 【電學】並聯的；多路的 復接的。4 【植物...
  • correlation : n. 相互關系，相關（性）；對比；交互作用；【數學】對射，異射。 correlation index 關聯指數。 correlation mineral 對比礦物。
  1. We analyzed the data by applying analysis of variance ( av ), multiple stepwise regression analysis ( msra ), canonical correlation analysis ( cca ) and so on. additionally, new developing statistical method, linear structural relations ( l1srel ), was employed to throw light on the substantial acting mechanism

    應用傳統的（協）方差分析、多元逐步回歸分析、主成分回歸分析、嶺回歸分析、判別分析和典型相關分析等統計方法對影響學習成績的因素進行分析，並採用新近發展的線性結構方程模型（ linearstructuralrelations ， lisrel ）分析影響學習成績的? ?各個因素並探討其影響機制。
  2. The one - way anova analysis and correlation analysis show that the factors such as country or town, family structure, family economic level, mother ' s education, mother ' s occupation, father ' s warmth and empathic relationship, mother ' s warmth and empathic relationship, mother ' s over - protection and over - interference and family communication have notable correlations with the self - efficacy of middle school students. multiple linear regression analysis shows that some external factors including mother ' s occupation, family structure and family economic level, some internal factors such as mother ' s warmth and empathic relationship, mother ' s severe punishment and family communication have notable influence on middle school students " self - efficacy. and family economic level may also influence self - efficacy by influencing mother ' s parenting style and family communication

    單因素方差分析和相關分析表明，來自農村城市，家庭結構，家庭經濟狀況，母親文化程度，母親職業，父親溫暖理解、母親溫暖理解、母親過干涉過保護，家庭溝通等都與中學生自我效能感有顯著聯系；多因素逐步回歸分析表明，母親職業、家庭結構、家庭經濟狀況等外環境因素以及母親溫暖理解、母親懲罰嚴厲，家庭溝通等家庭內環境因素對中學生自我效能感有顯著的預測作用；其中家庭經濟狀況還可以通過對母親教養方式和家庭溝通的影響間接影響中學生自我效能感。
  3. The distribution and structure of the allelic polymorphism data are analyzed and it is pointed out that the distribution of allelic polymorphism data reveals the characteristic of closed data ( also named as compositional data or data of constant sum ) it is interpreted that the correlation structure of the allelic polymorphism data contains null correlations introduced by " closure " and the statistical distribution of the data is not normal because of its constant row sum, which resulted in great difficulties in analyzing the data with traditional multiple linear statistical methods such as principal component analysis, factor analysis, cluster analysis and canonical correlation analysis

    摘要長期以來，對于多維基因多態性數據的多元統計分析，如計算遺傳距離時所用的聚類分析、分析群體遺傳結構時所用的主成分分析、因子分析和典型相關分析等，一直應用為無約束條件數據而設計的經典多元線性分析方法，並沒有注意基因多態性數據的「閉合效應」所帶來的問題。
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