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。

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In the meantime, the water sensitive coefficient of the spring wheat was computed by nonlinear multiple regression methods.

同时，用非线性回归技术计算了旱地地膜穴播春小麦的水分敏感系数。

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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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