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2句中譯英,謝謝
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| 表5為根據(jù)典型相關(guān)系數(shù)建立典型相關(guān)線性組合時(shí),兩組變量中各變量的權(quán)重。典型結(jié)構(gòu)分析是對(duì)原始變量和典型變量相關(guān)關(guān)系的進(jìn)一步分析,其相關(guān)系數(shù)反映了原變量對(duì)典型變量提供的信息量大小,相關(guān)系數(shù)越大,則原變量提供的信息量越大。 |

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According to typical correlation coefficient to establish typical correlation linear combination,table 5 is the weight of every variable in two group variables. Typical structure analysis is the further analysis of correlativity to original variable and typical variable. The correlation coefficient reflect the ammounts of information that is supported by original variable to typical variable. The bigger correlation coefficient is,the more information ammounts the original variable supports. |
木蟲(chóng) (著名寫(xiě)手)
| Table 5 shows the weight of each variable in the two groups of variables during the creation of canonical correlation linear combinations based on canonical correlation analysis. Canonical structure analysis is the further analysis on the correlation between original variables and canonical variables. The resulted correlation coefficient reflects the information content towards canonical variables provided by original variables. The greater the coefficient is, the higher information content provided by the original variables will be. |

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