在深入学习更高级的技术(如多次回归或多变量方差分析)之前，对于简单线性回归的透彻理解将使您受益匪浅。
Before you plunge into learning more advanced techniques, like multiple regression or manova, you could benefit from having a solid understanding of simple linear regression.
数据分析采用方差分析、多元回归分析。
Data were analyzed using variance and multiple regression analysis.
方差分析表明，试验数据及回归方程是可靠的。
Variance analysis shows that the test data and regression equations are reliable.
最后，利用方差分析和多元线性回归方法建立了预报日nee的线性模型。
Finally, a linear model is established to forecast diurnal NEE through variance analysis and multiple linear regression methods.
最后用化学质量平衡法的有效方差分析，脊岭回归分析计算源的分配。
Next, Effect Variance Analysis and Ridge Regression of Chemical Mass Balance were used to calculate the source apportionment.
传统的实验设计与分析方法为首先进行正交实验设计，然后对实验结果进行回归分析和方差分析以确定最佳工艺条件。
Traditional methods for experiment design and analysis is to design orthogonal experiment first, and then make regression analysis and variance analysis to search the optimal technological condition.
研究调查了277名创业者，对被试的四种规则聚焦水平进行了协方差分析和分组回归分析。
After investigating 277 entrepreneurs, the paper analyzed the effects of regulatory focus on the decision making by ANCOVA and regression analysis.
线性模型是一类很重要的统计模型，它包括回归模型、方差分析模型、协方差分析模型以及混合模型等。
Linear model is a vital class of statistical model which involves regression model, variance analysis model, covariance analysis model and mixed model etc.
数据处理方法包括单因素多变量方差分析、多因素线性回归分析和t检验。
The data were treated with univariate and multivariate analysis of variance, multiple linear regression analysis and t test.
结论：在协方差分析中使用哑变量使对模型的理解变的简单，在方差分析中使用哑变量使得可以从回归的角度来理解模型。
Conclusion: It is easy to understand the analysis of covariance and analysis of variance can also be considered in regression analysis setting by defining appropriate dummy variables.
编制了程序，能自动拟合回归方程。并进行方差分析和回归效果的显著性检验；
The program designed may imitate the . regression equation automatically, engage in variance analysis and significance test for regression effects.
本文利用实验数据建立一元线性回归方程；回归直线，并用方差分析法和相关系数法检验方程的有效性。
This paper use experimental data to set up linear regression equation with unitary and regression straight line, to use variance analysis and related coefficient to test validity of equation.
线性模型是很重要的一类统计模型，它包括线性回归模型、方差分析模型、协方差分析模型和方差分量模型等等。
Linear models are especially important statistical models, including linear regression model, variance and analysis, covariance and analysis, and variance and component one etc.
同时，还对试验结果进行了方差分析和逐步回归，获得了适合于工程应用的经验公式。
Besides, the experimental results are proved by regression analysis so as to obtain the empiric formula applicable to engineering.
经方差分析比较证明，应用回归方程法计算的叶面积比用矫正系数法更为可靠。
The result of variance analysis revealed that regression equation method could give a more reliable result than leaf area correction coefficient method for the leaf area measurement.
方法应用直线相关回归、逐步多元回归和协方差分析等统计学方法分析暂时性听阈位移与听阈、噪声强度、工龄、年龄等因素之间的关系。
Method Statistical methods of linear regression, multiple stepwised regression, two-way ANOVA were used to analysis the relation of TTS with audition, noise level, working-year and age.
方法采用自编的工作倦怠问卷和组织公民行为问卷对党政干部进行调查，用t检验、方差分析、相关分析、回归分析对数据进行处理。
Methods to investigate the party and governmental cadres by questionnaire of job burnout and organizational citizenship behavior, t-test, ANOVA, correlation, regression were used to compute data.
最后，通过采用因子分析、方差分析、多元回归分析等统计方法对所提出的概念模型和研究假设进行了验证和分析。
Finally, by using factor analysis, variance analysis and multiple regression analysis, this paper verifies the above conceptual model and research hypothesis.
在数据处理方面，采用了探索性因素分析、回归分析、相关分析、方差分析等统计方法。
In data processing, some standard research methods, such as regression analysis, correlation analysis, variance analysis, and other statistical methods are employed.
在实证部分，提出假设，进行描述行统计分析、参数检验分析、单因素方差分析、相关性分析和多元线性回归分析。
The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.
本研究采用的统计分析方法主要有：方差分析、秩和检验、最优尺度回归分析、多元线性回归分析。
The main analysis methods are: analysis of variance, ranks test, optimal scaling regression and multiple regression.
单一标记分析法可以采用方差分析、回归分析或似然比检验的方法分析。
ANOVA, regression method and likelihood ratio test can be applied in single-marker mapping.
采用随机区组试验设计，通过方差分析、多重比较及回归分析，研究不同配方基质性质与油松容器苗生长及生理特性的关系和对苗木生长的影响。
Using randomized block experiment design and variance analysis, multiple comparisons and regression analysis methods; the effects of the container-growing seedling were systematically analyzed.
调查数据使用SPSS统计处理软件，分析方法主要是方差分析和回归分析。
We use SPSS to count the processing, the analysis method is mainly the variance analysis and the regression analysis.
研究中对消费者进行了问卷调查，对回收的253份有效问卷用SPSS进行了因子分析、相关性分析、回归分析及方差分析。
Study on consumers conducted a questionnaire survey on the recovery of 253 valid questionnaires were used SPSS factor analysis, correlation analysis, regression analysis and analysis of variance.
在此基础上，通过回归分析、交叉分析、方差分析等分析手段，探讨了感知价值对旅游者重游意愿的影响情况。
Based on it, we discussed the effect of customer perceived value on tourist revisit intention through regression analysis and cross-cutting.
锯木生产率、单位锯切功的方差分析结果，进一步采用逐步回归分析方法，得到含有主要影响因素的各锯切指标的回归公式，对链锯设计与计算有着重要意义。
On the cutting targets and found the variance analysis results that the cutting parameters may affect some cutting targets such as the cutting force, the cutting power, the cutting productivity and...
用回归分析方法和方差分析方法计算上坝初期沉陷漏测量。
The method of regression analytic and square difference is applied to computing the lost quantity of the initial subsidence of earth dam.
用回归分析方法和方差分析方法计算上坝初期沉陷漏测量。
The method of regression analytic and square difference is applied to computing the lost quantity of the initial subsidence of earth dam.
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