The regression model based on 45 years data (1951-1995) with the two parameters has a multiple correlation coefficient of 0. 66.
用1951 - 1995年的45年资料建立的二因子回归预报模型的复相关系数可达到0.66。
The result of multiple correlation coefficient testing, F-testing and t-testing indicates that the model meets the hypothesis testing of linearity and its matching effect is preferable.
复相关系数、F检验、t检验结果表明，该模型满足线性与方差齐性的假设，拟合效果较好。
Though multiple regression analysis, it was showed that the correlation between SAP velocity and Meteorological Factors was highly significant and its coefficient of correlation was more than 0.795.
通过多元线性回归，得出气象因子与液流速率呈极显著相关，相关系数均在0.795以上。
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