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【正文】 e bounds): a1 = (, ) b1 = (, ) c1 = (, )Goodness of fit: SSE: Rsquare: Adjusted Rsquare: RMSE: (4)兩項(xiàng)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 = (+04, +04) b2 = (, ) c2 = (, )Goodness of fit: SSE: Rsquare: Adjusted Rsquare: RMSE: 2．N對生菜生長的影響（1）二次多項(xiàng)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(xiàng)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 = (, )Goodness of fit: SSE: Rsquare: Adjusted Rsquare: RMSE: （3）單項(xiàng)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(xiàng)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(jìn)后的擬合優(yōu)度（ARs）N的施用量同土豆產(chǎn)量的函數(shù)關(guān)系二次多項(xiàng)式三次多項(xiàng)式單項(xiàng)正弦兩項(xiàng)正弦N的施用量同生菜產(chǎn)量的函數(shù)關(guān)系二次多項(xiàng)式三次多項(xiàng)式單項(xiàng)正弦兩項(xiàng)正弦經(jīng)比較應(yīng)選擇兩項(xiàng)正弦。在（100,270）之間對生菜促進(jìn)作用明顯，且在220時達(dá)到最大值。y=[ ]。y=[ ]。y=[
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