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。
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。
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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