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multiple regression model in Chinese

Pronunciation:
How to pronounce "multiple regression model""multiple regression model" in a sentence

Translationmobile phoneMobile

  • 多重回歸模型

Examples

  • The multiple regression model is the most widely used vehicle for empirical analysis
    多元回歸模型是實證分析中最廣泛使用的工具。
  • Multiple regression models can accommodate many explanatory variables that may be correlated
    多元回歸模型能容許很多解釋變量，而這些變量可以是相關的。
  • Two separate stepwise multiple regression models were applied to two groups of students in two different departments to predict their academic performance with psychological constructs and domain - specific attributes
    摘要用心理變數(shù)及學科能力變數(shù)藉逐階復回歸預測兩個不同主修科系學生的統(tǒng)計科學期成績。
  • Ratio method , factor analysis method and multiple regression model were applied to source apportionment experiment of polycyclic aromatic hydrocarbons ( pahs ) in airborne particulate at traffic areas in nanjing
    摘要通過比值法、因子分析法和多元逐步回歸模型對南京市交通干道區(qū)顆粒物中的多環(huán)芳烴的源解析進行研究。
  • To probe into this correlation , the death rate per hundred thousand people and 14 indicators of economic and social development were studied in the selected 27 sample countries employing multiple regression analysis , through which a multiple regression model was established to relate the indicator of the death rate per hundred thousand people at work places to economic and social indicators of development , and the economic and social factors with an impact on work safety analyzed
    為了研究安全生產(chǎn)與經(jīng)濟社會發(fā)展的關系，選擇了其中27個樣本國家的10萬人死亡率和14個經(jīng)濟社會發(fā)展指標，運用多元回歸分析方法，建立了10萬人死亡率指標與經(jīng)濟社會指標之間的多元回歸模型，分析影響安全生產(chǎn)狀況的經(jīng)濟社會因素。
  • In the multiple regression model vital capacity as dependent variable , height , chest circumference and sitting height were sent into the model , standardized coefficient of the mode was 0 . 903 in boys and 0 . 802 in girls ; pulmonary ventilation as dependent variable , age and body weight were entered as predictors , standardized coefficient of the mode was 0 . 736 in boys and 0 . 748 in girls
    以肺活量為應變量，身高、胸圍和坐高被引入模型，模型標化相關系數(shù)男生為0 . 903 ，女生為0 . 802 ；以肺通氣量為應變量，年齡、體重被引入模型，模型標化相關系數(shù)男生為0 . 736 ，女生為0 . 748 。
  • The second powerful item is the " layout " ( the partial correlation coefficients are above 0 . 7 , except the native - modern ) ; the least influential item is the " background color " . ( 3 ) the characteristics and performance are very similar between multiple regression model and quantification model , but the neural network model quite differs the others
    ( 3 )三種模式中其中復?歸分析與數(shù)量化一類模式之特質及調(diào)查結果兩者較為接近（預測相似度81 % ） ，而類神經(jīng)網(wǎng)路與兩者之結果相去較遠（預測相似度分別為62 %及52 % ） 。
  • We have combined qualitative analysis and quantitative analysis to foresee the market size . firstly , we found the relative factors influencing the truck market through qualitative analysis and picked up several main factors by quantitative analysis , such as highway mileage , social fixed assets investment capital and consumption expenditure , etc . secondly , we set up four models by using those factors . the four models are a time series model , a multiple regression model , a factor regression model and an integrated model
    首先,通過定性分析找到了影響我國載貨汽車保有量的相關因素,接著又進一步進行定量的分析,從而確定了公路里程數(shù)、基本建設固定資產(chǎn)投資額和我國社會消費支出額等為主要影響因素;然后,利用前面的分析結果構造了三個模型,即時間序列模型、多元回歸模型和因子回歸模型,并綜合幾個模型的優(yōu)點建立了一個綜合的預測模型,這一部分也是全文的重點部分;最后,分析比較了各模型的優(yōu)劣并給出了每個模型的適用情況。

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