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利用多元二次回归模型,寻求主要因素密度、N、P_2O_5、K_2O等多元恰当配比,为大豆生产提供一种或几种可以实现产量稳定的高座实施方案,提供分析方法. F检验的保留项中,取 F>1;综合分析中各因素的编码取代平方和小于或等于旋转半径的平方等。
Using multivariate quadratic regression model to find the appropriate proportion of main factors such as density, N, P_2O_5, K_2O and so on, and to provide one or more high-seat implementation schemes for soybean production to provide stable output and provide an analytical method. , Take F> 1; comprehensive analysis of the factors in the code to replace the square sum is less than or equal to the square of the radius of rotation and so on.