如何用mathematica计算拟合度?给程序,谢谢,比如,我的一次线性数据是: data1 = {{0.0217, 0.0476}, {0.0424, 0.09559}, {0.0627, 0.142}, {0.0833, 0.189}, {0.104, 0.237}, {0.1242, 0.283}} k = Fit[data1, {1, x}, x] f = Plot[k, {x, 0.00
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![如何用mathematica计算拟合度?给程序,谢谢,比如,我的一次线性数据是: data1 = {{0.0217, 0.0476}, {0.0424, 0.09559}, {0.0627, 0.142}, {0.0833, 0.189}, {0.104, 0.237}, {0.1242, 0.283}} k = Fit[data1, {1, x}, x] f = Plot[k, {x, 0.00](/uploads/image/z/11694469-13-9.jpg?t=%E5%A6%82%E4%BD%95%E7%94%A8mathematica%E8%AE%A1%E7%AE%97%E6%8B%9F%E5%90%88%E5%BA%A6%3F%E7%BB%99%E7%A8%8B%E5%BA%8F%2C%E8%B0%A2%E8%B0%A2%2C%E6%AF%94%E5%A6%82%2C%E6%88%91%E7%9A%84%E4%B8%80%E6%AC%A1%E7%BA%BF%E6%80%A7%E6%95%B0%E6%8D%AE%E6%98%AF%EF%BC%9A+data1+%3D+%7B%7B0.0217%2C+0.0476%7D%2C+%7B0.0424%2C+0.09559%7D%2C+%7B0.0627%2C+0.142%7D%2C+%7B0.0833%2C+0.189%7D%2C+%7B0.104%2C+0.237%7D%2C+%7B0.1242%2C+0.283%7D%7D+k+%3D+Fit%5Bdata1%2C+%7B1%2C+x%7D%2C+x%5D+f+%3D+Plot%5Bk%2C+%7Bx%2C+0.00)
如何用mathematica计算拟合度?给程序,谢谢,比如,我的一次线性数据是: data1 = {{0.0217, 0.0476}, {0.0424, 0.09559}, {0.0627, 0.142}, {0.0833, 0.189}, {0.104, 0.237}, {0.1242, 0.283}} k = Fit[data1, {1, x}, x] f = Plot[k, {x, 0.00
如何用mathematica计算拟合度?
给程序,谢谢,比如,我的一次线性数据是: data1 = {{0.0217, 0.0476}, {0.0424, 0.09559}, {0.0627, 0.142}, {0.0833, 0.189}, {0.104, 0.237}, {0.1242, 0.283}} k = Fit[data1, {1, x}, x] f = Plot[k, {x, 0.00, 0.15}] g = ListPlot[data1] Show[f, g] 如上图像已经画出来了,怎么算拟合度R?
如何用mathematica计算拟合度?给程序,谢谢,比如,我的一次线性数据是: data1 = {{0.0217, 0.0476}, {0.0424, 0.09559}, {0.0627, 0.142}, {0.0833, 0.189}, {0.104, 0.237}, {0.1242, 0.283}} k = Fit[data1, {1, x}, x] f = Plot[k, {x, 0.00
……线性回归有个更专业的函数的,LinearModelFit,从中可以提取多种参数,当然也包括相关系数:
data1 = {{0.0217,0.0476},{0.0424,0.09559},{0.0627,
0.142},{0.0833,0.189},{0.104,0.237},{0.1242,0.283}};
lm = LinearModelFit[data1,x,x];
lm["RSquared"]
(*0.999994*)