1、Data were analysed ins ingle factor and multiple regression analysis with SPSS.
在SPSS支持下進(jìn)行單因素和多元回歸分析。

2、Multiple regression analysis is one of the important ways.
多元回歸分析法是其中的一種重要方法。

3、Conclusion The method of multiple regression equation is a good and useful statistical method.
結(jié)論確定醫(yī)學(xué)參考值范圍的多個(gè)回歸方程法是一個(gè)完善的統(tǒng)計(jì)方法。

4、And multiple regression analyses were used in this data.
數(shù)據(jù)分析主要有多元回歸分析等。

5、Data were analyzed using variance and multiple regression analysis.
數(shù)據(jù)分析采用方差分析、多元回歸分析。

6、Mean arterial pressure and body mass index were entered in the multiple regression models.
平均動(dòng)脈壓及體重指數(shù)進(jìn)入最優(yōu)回歸方程。

7、Only age, BMI and leptin correlated to BMD by multiple regression analysis.
多元線性回歸分析,僅年齡、體質(zhì)量指數(shù)、瘦素與骨密度相關(guān)。

8、Note that education is controlled for in the ordinal multiple regression analysis.
值得注意的是“受教育水平”在多重序數(shù)回歸分析中是得到控制的。

multiple regression翻譯