如何在Sage中进行回归分析？

Question

我没试成功:

find_fit(data, quadratic_residues)

我正在努力寻找最适合水流速率的数据:http://dl.getdropbox.com/u/175564/rate.png

---评论后编辑---

新代码:

var('x')
model(x) = x**2
find_fit((xlist, reqlist), model)

错误消息:

Traceback (click to the left for traceback)
...
TypeError: data has to be a list of lists, a matrix, or a numpy array

- -编辑

现在出现错误消息:

Traceback (click to the left for traceback)
...
ValueError: each row of data needs 2 entries, only 5 entries given

这里和图片一样:http: //dl.getdropbox.com/u/175564/sage.png

Answer 1

mydata = [[1,3],[2,7],[3,13],[4,24]]
var('a,b,c')
mymodel(x) = a*x^2 + b*x + c 
myfit = find_fit(mydata,mymodel,solution_dict=True)
points(mydata,color='purple') + plot(
  mymodel(
    a=myfit[a],
    b=myfit[b],
    c=myfit[c]
    ), 
    (x,0,4,),
    color='red'
  )