施肥效果分析(存儲版)
【正文】 (, )Goodness of fit: SSE: Rsquare: Adjusted Rsquare: RMSE: （4）兩項正弦函數(shù)回歸模型General model Sin2: f(x) = a1*sin(b1*x+c1) + a2*sin(b2*x+c2)Coefficients (with 95% confidence bounds): a1 = (, ) b1 = (, ) c1 = (, ) a2 = (, ) b2 = (, ) c2 = (, )Goodness of fit: SSE: Rsquare: Adjusted Rsquare: RMSE: 建立表格比較各參數(shù)的擬合量，其中系數(shù)只比較方差和修改后的擬合優(yōu)度 分類對象回歸模型方差（SSE）改進后的擬合優(yōu)度（ARs）N的施用量同土豆產(chǎn)量的函數(shù)關系二次多項式三次多項式單項正弦兩項正弦N的施用量同生菜產(chǎn)量的函數(shù)關系二次多項式三次多項式單項正弦兩項正弦經(jīng)比較應選擇兩項正弦。鉀元素主要是促進果實的干物質積累，用來膨大果實。進一步運用擬合工具進行擬合數(shù)據(jù)，得到多項式的二次，三次函數(shù)和正弦函數(shù)一項，兩項和三項函數(shù)。利用方差比較，得到N在三次多項式時擬合度最好，而P和K在二次多項式時擬合度最好。增加產(chǎn)量。三、P對作物生長的影響（1）二次多項式函數(shù)回歸模型Linear model Poly2: f(x) = p1*x^2 + p2*x + p3Coefficients (with 95% confidence bounds): p1 = (, ) p2 = (, ) p3 = (, )Goodness of fit: SSE: Rsquare: Adjusted Rsquare: RMSE: （2）三次多項式函數(shù)回歸模型Linear model Poly3: f(x) = p1*x^3 + p2*x^2 + p3*x + p4Coefficients (with 95% confidence bounds): p1 = (, ) p2 = (, ) p3 = (, ) p4 = 32 (, )Goodness of fit: SSE: Rsquare: Adjusted Rsquare: RMSE: （3）單項正弦函數(shù)回歸模型General model Sin1: f(x) = a1*sin(b1*x+c1)Coefficients (with 95% confidence bounds): a1 = (, ) b1 = (, ) c1 = (, )Goodness of fit: SSE: Rsquare: Adjusted Rsquare: RMSE: （4）兩項正弦函數(shù)回歸模型General model Sin2: f(x) = a1*sin(b1*x+c1) + a2*sin(b2*x+c2)Coefficients (with 95% confidence bounds): a1 = (+04, +04) b1 = (, ) c1 = (, ) a2 = (4435, 4475) b2 = (, ) c2 = (, )Goodness of fit: SSE: Rsquare: Adjusted Rsquare: RMSE: （1）二次多項式函數(shù)回歸模型Linear
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