analysis of variance in regression

基本解释

Linear regression analysis indicated that most of the variance in annual ionic fluxes can be explained by a linear dependence on snow accumulation rate.
線性廻歸分析表明，在每年的離子通量的差異可以解釋成線性關系，積累率。
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.
結論：在協方差分析中使用啞變量使對模型的理解變的簡單，在方差分析中使用啞變量使得可以從廻歸的角度來理解模型。
In this research we verify the hypotheses by multiple linear regression, analysis of variance, factor analysis and correlation analysis.
第五章對研究的結果進行了分析，本次研究主要採取方差分析、相關分析。