multiple regression analysis

multiple regression analysis的基本解释

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多元回归分析

与multiple regression analysis相关的网络例句 [注：此内容来源于网络，仅供参考]

In order to study the factors related to Enterobius infection among per-schoolchildren, a structural questionnaire with multi-stages and a random sampling was designed to interview parents of 702 pre-schoolchildren. The questionnaire included personal information of the children: their educational background and parents' occupation; the status of their housing; their handwashing habits, and their frequency and habits of bathing, etc. In addition, the children's pinworm infections were examined using two-consecutive-day adhesive cellophance paper perianal swabs. Variables causing the pinworm infection among infected and noninfected children were analyzed by x2-test and multi-variable tests including discriminant analysis and stepwise multiple regression.

为了解学龄前儿童蛲虫感染之因素，以结构型问卷多步骤随机抽样访视702名学龄前儿童的家长，问卷的内容包括：儿童个人资料、儿童父母亲教育程度、职业、住屋情形、卧室分配情形、手部卫生习惯、洗澡习惯等，并以连续两天玻璃胶纸肛围擦拭法〈two-consecutive-day adhesive cellophane paper perianal swabs〉检查儿童的蛲虫感染情形，儿童蛲虫感染与各单变项的相关，以卡方检定〈x2-test〉分析，而多变项的分析则以判定分析〈discriminant analysis〉及逐步复回归〈stepwise multiple regression〉进行分析。

This study conducted a secondary data analysis based on the data from 1999 Survey of Health and Living Status of the Middle Aged and the Elderly in Taiwan, provided by the Bureau of Health Promotion, Department of Health, R.O.C.. The study subjects were elders over 65 years old, and the number of valid samples was 2890. The data were analyzed with descriptive statistics, one-way ANOVA, Chi-square test(X2), Independent-Samples t-test, point biserial correlation, the Pearson product-moment correlation, logistic regression analysis, multiple regression analysis and hierarchical regression analysis.

本研究乃是使用行政院卫生署国民健康局人口与健康调查研究中心执行之「台湾地区中老年身心社会生活状况长期追踪调查系列」1999年调查资料进行次级资料分析，研究样本为年满六十五岁以上之高龄者，有效样本数为2890人，针对所得的资料，以描述统计、单因子变异数分析、卡方检定、独立样本t检定、点二系列相关、皮尔森积差相关、逻辑回归、多元回归分析及阶层回归分析等统计方法进行分析。

Based on cloud seeding data on April 5,2002 in Henan province,cloud seeding effects were evaluated by six methods,i.e.double contrast method of regional rainfall tendency control,regression analysis method of regional tendency correlation,multiple regression analysis method of regional tendency covariant,floating control historical regression method,cluster-analysis-based floating control historical regression method using rainfall as a covariant and CA-FCM using rainfall and atmospheric perceivable water as covariants.

根据2002年4月5日河南省人工催化增雨作业数据，分别采用作业区域趋势对比双比分析评估方案、区域趋势相关回归评估方案、区域趋势协变量多元回归评估方案、FCM评估方案、以降水量为协变量的CA-FCM评估方案和以降水量与整层大气可降水量为协变量的CA-FCM评估方案进行效果评估。

与multiple regression analysis相关的网络解释 [注：此内容来源于网络，仅供参考]

multiple regression analysis：多元回归分析

■ 德尔菲(Delphi)法;多元回归分析(multiple regression analysis)是指具有两个或两个以上的自变量 的回归分析. 多元回归函数的模型为:

multiple regression analysis：多重回归分析

multiple operation 多种经营 | multiple regression analysis 多重回归分析 | multiple tariff 多重关税

multiple regression analysis：多重回归分析 重回帰分析

■ multiple regression 多元回归 多重回帰 | ■ multiple regression analysis 多重回归分析 重回帰分析 | ■ multiple representations 多重表达 多重表現