两变量之间关系采用直线相关分析。
Correlation between two variables was analyzed with linear correlation.
时间序列分析显示两类变量都存在一阶负相关，而交易活动存在周日效应。
The time series analysis show that the two class of variables have one order negative correlation, and the trading activity has weekly seasonal effect.
典型相关分析能揭示出两组变量之间的内在联系，在农业试验研究中应用越来越广泛。
The analysis of canonical correlation can bring to light the internal relations between two sets of variables. It has been increasingly used in agricultural experiments and researches.
应用推荐